Pacific Islands Ocean Observing System WMS

Building Footprints - Aunu'u (PACIOOS:as_dw_aun_bldngs)

Building Footprints of Aunu'u, American Samoa

Shoreline - Aunu'u, American Samoa (PACIOOS:as_dw_aun_shore)

Shoreline of Aunu'u, American Samoa

Malaeimi Special Management Area (PACIOOS:as_dw_mal_sma)

Malaeimi Special Management Area, Tutuila, American Samoa

County Boundaries - Manu'a (PACIOOS:as_dw_manall_cntybndrs)

County Boundaries of Manu'a: Ofu, Olosega & Ta'u

Elevation Contours, 20m - Manu'a (PACIOOS:as_dw_manall_cont_20m)

20m elevation contours of Manu'a: Ofu, Olosega & Ta'u, American Samoa

Flood Hazard Zones - Ofu and Olosega, American Samoa (PACIOOS:as_dw_manall_femafirm)

FEMA Flood hazard zones for the islands of Ofu and Olosega, American Samoa

Village Boundaries - Manu'a (PACIOOS:as_dw_manall_vilbndrs)

Village boundaries of Manu'a: Ofu, Olosega & Ta'u, American Samoa

Wetland, Jurisdictional Line - Nuuuli (PACIOOS:as_dw_nuu_jwl)

Nuuuli Jurisdictional Wetland Line - Tutuila, American Samoa

Shoreline - Olosega, American Samoa (PACIOOS:as_dw_olo_shore)

Shoreline of Olosega, American Samoa

Shoreline - Swains Atoll, American Samoa (PACIOOS:as_dw_swa_shore)

Shoreline of Swains Atoll, American Samoa

Building Footprints - Ta'u (PACIOOS:as_dw_tau_bldng)

Building Footprints of Ta'u, American Samoa

Shoreline - Ta'u, American Samoa (PACIOOS:as_dw_tau_shore)

Shoreline of Ta'u, American Samoa

Building Footprints - Tutuila (PACIOOS:as_dw_tut_bldngs)

Building Footprints of Tutuila, American Samoa

Elevation Contours, 10m - Tutuila (PACIOOS:as_dw_tut_cont_10m)

10m elevation contours of Tutuila, American Samoa

Elevation Contours, 50m - Tutuila (PACIOOS:as_dw_tut_cont_50m)

50m elevation contours of Tutuila, American Samoa

Simrad EM-3000 Multibeam Bathymetry Grid (1m), Fagatele Bay, American Samoa (PACIOOS:as_dw_tut_fagatele_bathy_2002)

This is a high-resolution (1m) bathymetric grid with negative z values. The data were collected by the USF Center for Coastal Ocean Mapping with the Kongsberg Simrad EM 3000 multibeam system (Co-chief Scientists, David Naar and Brian Donahue). An Applanix POSMV 320 V3 system was used for real-time positions and vessel attitude (heading, pitch, roll, and heave). An AML (Applied Microsystems LTD.) SV plus was used to measure sound velocities in the water column. The data were collected in Fagatele Bay on November 10th, 2002 aboard a Motor Vessel Lady Ana.

Flood Hazard Zones - Tutuila, American Samoa (PACIOOS:as_dw_tut_femafirm)

FEMA Flood hazard zones for the island of Tutuila, American Samoa

Hydrography - Tutuila (PACIOOS:as_dw_tut_hydrobiol)

Hydrography of Tutuila

Simrad EM-3000 Multibeam Bathymetry Grid (5m), Pago Pago Harbor, American Samoa (PACIOOS:as_dw_tut_pagopago_bathy_2001)

This is a 5-m bathymetric grid of high-resolution, shallow water multibeam echo-soundings gathered by the Kongsberg Simrad EM-3000 system on a boat owned by the America Samoa Government (ASG), Dept. of Marine & Wildlife Resources (DMWR). Simrad EM-3000 is a 300 kHz system that fans out up to 121 beams at a 130 deg. angle, yielding swaths that are up to 4 times the water depth. The system can capture depths in the 3-150 m range at survey speeds of 3-12 knots. With differential GPS, the system is capable of centimeter resolution with an accuracy of 10-15 cm. Grid size spacing may be 30 cm to 15 m for depths in the 3-150 m range. Xyz data from cleaned, tide-corrected soundings were gridded in MbSystem and then converted to an ArcInfo grid with ArcGMT. Grid spacing is 5-m, accuracy is ~24 m, coordinates decimal degrees, WGS84 datum. Differential corrections not applied.

Simrad EM-3000 Multibeam Bathymetry Grid (1m), Taema Bank, American Samoa, 2001 (PACIOOS:as_dw_tut_taema_bathy_2001)

This is a 1-m bathymetric grid with negative depth values of high-resolution multibeam echo-soundings gathered in May 2001 by the Kongsberg Simrad EM-3000 system on a boat owned by the America Samoa Government (ASG), Dept. of Marine Wildlife Resources (DMWR). Simrad EM-3000 is a 300 kHz system that fans out up to 121 beams at a 130 deg. angle, yielding swaths that are up to 4 times the water depth. The system can capture depths in the 3-150 m range at survey speeds of 3-12 knots. With differential GPS, the system is capable of centimeter resolution with an accuracy of 10-15 cm. Grid size spacing may be 30 cm to 15 m for depths in the 3-150 m range. An AML (Applied Microsystems LTD.) sound velocity probe was used to measure sound velocities at the transducer interface in real time and conduct sound velocity casts. Velocity casts were done by lowering the sensor to a maximum of 30 meters in one meter intervals.

Simrad EM-3000 Multibeam Bathymetry Grid (10m), Transit Around Tutuila, American Samoa (PACIOOS:as_dw_tut_transit_bathy_2001)

This is a 10-m bathymetric grid of high-resolution, shallow water multibeam echo-soundings gathered by the Kongsberg Simrad EM-3000 system on a boat owned by the America Samoa Government (ASG), Dept. of Marine & Wildlife Resources (DMWR). Simrad EM-3000 is a 300 kHz system that fans out up to 121 beams at a 130 deg. angle, yielding swaths that are up to 4 times the water depth. The system can capture depths in the 3-150 m range at survey speeds of 3-12 knots. With differential GPS, the system is capable of centimeter resolution with an accuracy of 10-15 cm. Grid size spacing may be 30 cm to 15 m for depths in the 3-150 m range. Xyz data from cleaned, tide-corrected soundings were gridded in MbSystem and then converted to an ArcInfo grid with ArcGMT. Grid spacing is 10-m, accuracy is ~24 m, coordinates decimal degrees, WGS84 datum. Differential corrections not applied.

Watersheds, Minor - Tutuila (PACIOOS:as_dw_tut_wshed_minor)

Minor Watersheds of Tutuila

Shoreline - Tutuila and Aunu'u, American Samoa (PACIOOS:as_dw_tutaun_shore)

Shorelines of Tutuila and Aunu'u, American Samoa

ESI - Benthic Habitats (PACIOOS:as_noaa_all_esi_benthic)

Benthic Habitats of American Samoa as derived from NOAA ESI studies

ESI - Shorelines (PACIOOS:as_noaa_all_esi_esilines)

Environmental Sensititivity Index regions for shorelines.

ESI - Fish (PACIOOS:as_noaa_all_esi_fish)

Environmental Sensititivity Index regions for fish.

ESI - Marine Mammals (PACIOOS:as_noaa_all_esi_m_mammal)

Environmental Sensititivity Index regions for mammals.

ESI - Reptiles (PACIOOS:as_noaa_all_esi_reptiles)

Environmental Sensititivity Index regions for reptiles.

National Marine Sanctuary of American Samoa Boundary (PACIOOS:as_noaa_sanctuary_boundary)

National Marine Sanctuary of American Samoa Boundary

Volcanic Point Features (PACIOOS:as_nps_all_volcanpts)

Volcanic Point Features of American Samoa

Ofu And Olosega 5m Bathymetry: IKONOS (PACIOOS:as_pibhmc_ofuolo_bathy_ikonos_2004)

Bathymetric data derived from two multispectral IKONOS satellite images are mosaiced to provide near complete coverage of nearshore terrain around the islands. Bathymetry values shallower than 25 m were derived by gauging the relative attenuation of blue and green spectral radiance as a function of depth. A multiple linear regression analysis of linearized blue and green band spectral values against depth determined the variables of y-intercept, blue slope, and green slope values. Variables then used in multivariate slope intercept formula to derive depth. Variables were adjusted to improve the statistical accuracy and spatial coverage of the final derived bathymetry product. Digital image processing to derive depths conducted with ENVI 4.3 software while data editing and integration was performed using ArcGIS 9.3. This data set is for the shelf environment of Ofu and Olosega Islands, American Samoa.

Swains Island 40m Bathymetry (PACIOOS:as_pibhmc_swains_40m_bathy)

Gridded bathymetry (40 m cell size) of the slope environment of Swains Island, American Samoa. Almost complete bottom coverage was achieved in depths between 7 and 4800 m. The multibeam data are from the Simrad EM300 system aboard the NOAA Ship Hi'ialakai, and the Reson 8101ER system aboard the R/V AHI and were collected from 10th - 13th February 2006.

Swains Island 40m Bathymetric Position Index (BPI) Zones (PACIOOS:as_pibhmc_swains_40m_bpi_zones)

Bathymetric position index (BPI) zones are derived from gridded (40 m cell size) multibeam bathymetry, collected aboard R/V AHI and NOAA ship Hi'ialakai, and it was created using the Benthic Terrain Modeler. Cell values represent one of 4 classes (crest, depression, slope, flat) in an index of seafloor terrains. This data set is for Swains Island, American Samoa.

Swains Island 40m Seafloor Rugosity (PACIOOS:as_pibhmc_swains_40m_rugosity)

Rugosity is derived from gridded (40 m cell size) multibeam bathymetry, collected aboard R/V AHI and NOAA ship Hi'ialakai. Cell values reflect the (surface area) / (planimetric area) ratio for the area contained within that cell's boundaries. They provide indices of topographic roughness and convolutedness. This data set is for Swains Island, American Samoa.

Tutuila 5m Bathymetry: IKONOS (PACIOOS:as_pibhmc_tut_5m_bathy_ikonos)

Bathymetry values shallower than 25 m were derived from multispectral IKONOS satellite data by gauging the relative attenuation of blue and green spectral radiance as a function of depth. The purpose of this mosaic was to improve the nearshore extent of gridded shipborne multibeam bathymetry (distributed separately). A multiple linear regression analysis of linearized blue and green band IKONOS spectral values against depth determined the variables of y-intercept, blue slope, and green slope values. Variables then used in multivariate slope intercept formula to derive depth. Variables were adjusted to improve the statistical accuracy and spatial coverage of the final derived bathymetry product. This dataset is for the shelf environment of Tutuila Island, American Samoa.

Tutuila 5m Bathymetry: Multibeam (PACIOOS:as_pibhmc_tut_5m_bathy_multibeam)

Gridded (5 m cell size) multibeam bathymetry of the shelf and slope environments of Tutuila Island, American Samoa, South Pacific. Almost complete bottom coverage was achieved in depths between 2 and 3409 meters (5 m grid includes data to 250 m). The bathymetry dataset includes Simrad EM300, EM3002D, and Reson 8101ER multibeam data collected during Jan. to March of 2004 and during Feb. to March of 2006.

Tutuila 5m Bathymetric Position Index (BPI) Zones (PACIOOS:as_pibhmc_tut_5m_bpi_zones)

Bathymetric position index (BPI) zones are derived from a focal mean analysis on bathymetry and slope. The grid is based on gridded (5 m cell size) multibeam bathymetry, collected aboard NOAA Ship Hi'ialakai and R/V AHI, and it was creating using the Benthic Terrain Modeler. Cell values represent one of 4 classes in an index of seafloor terrains. This data set is for the shelf and slope environments of Tutuila Island, American Samoa, South Pacific.

Tutuila 5m Hard-Soft Seafloor Classification: Simrad (PACIOOS:as_pibhmc_tut_5m_hardsoft_simrad)

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at Tutuila Island, American Samoa, South Pacific. The dataset was derived using a combination of Simrad em3002d backscatter, bathymetric variance, and bathymetric rugosity. The sonar frequencies was 300 kHz and all data were resampled to 5 m grid cell size prior to the classification. Initial supervised classifications of the backscatter data into hard and soft seafloor substrates, using seafloor photographs for groundtruthing and to define regions of interest, were used to define unsupervised class types and to visually evaluate the accuracy of the unsupervised classification seafloor substrate map.

Tutuila 5m Seafloor Slope (PACIOOS:as_pibhmc_tut_5m_slope)

Slope is derived from gridded (5 m cell size) multibeam bathymetry, collected aboard NOAA Ship Hiialaka'i and R/V AHI, Cell values reflect the maximum rate of change (in degrees) in elevation between neighboring cells derived with the ArcGIS Spatial Analyst extension. This data set is for the shelf and slope environments of Tutuila Island, American Samoa, South Pacific.

Building Footprints - Ofu (PACIOOS:as_rd_ofu_bldngs)

Building Footprints of Ofu, American Samoa

Vegetation - American Samoa (PACIOOS:as_usfs_comp_veg)

Vegetation of American Samoa, compiled from individual files for Ofu & Olosega, Rose Atoll, Swains Island, Ta'u and Tutuila

Sites of biodiversity, conservation and tourist relevance - Federated States of Micronesia (PACIOOS:fm_ej_all_conservsites)

Sites of biodiversity, conservation and tourism relevance in the Federated States of Micronesia

Protected and Managed Areas - Federated States of Micronesia (PACIOOS:fm_ej_all_pmas)

Protected and Managed Areas of the Federated States of Micronesia

Coral Monitoring Sites - Pohnpei (PACIOOS:fm_ej_poh_csp_coralsurvey2005)

Coral monitoring sites 2004-2005 in Pohnpei, Federated States of Micronesia

Coral Reefs (Distribution) - Federated States of Micronesia (PACIOOS:fm_mcrmp_all_coralreefs)

Coral reef distribution for the Federated States of Micronesia, from the UNEP-WCMC Millennium Coral Reef Mapping Project.

Shoreline - Federated States of Micronesia (PACIOOS:fm_spcusgs_all_shoreline)

Shoreline of the Federated States of Micronesia

Coastal Features - Guam (PACIOOS:gu_db_all_coastalfeats)

Coastal Features and Place Names in Guam, Mariana Islands.

Dive Sites - Guam (PACIOOS:gu_db_all_divesites)

Flood Hazard Zones - Guam (PACIOOS:gu_db_all_fldhzd_zones)

FEMA Flood Hazard Zones for Guam.

Municipal Boundaries - Guam (PACIOOS:gu_db_all_mncpal_bndrys_2001)

Municipal boundaries of Guam, Mariana Islands.

Refuge Areas - Guam (PACIOOS:gu_db_all_rfg_bndry)

Refuge Areas of Guam, Mariana Islands

Soil Types (NRCS) - Guam (PACIOOS:gu_db_all_soiltypes)

Natural Resources Conservation Service soil types of Guam, Mariana Islands.

Vegetation - Guam (PACIOOS:gu_db_all_usfs_veg)

Vegetation (USFS) of Guam, Mariana Islands.

Sea Level Rise Vulnerability (Ground) for Guam at 1ft above MHHW (PACIOOS:gu_hcgg_all_slr_clu1)

This map shows the extent of flooding of low-lying inland coastal areas around Guam due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Guam at 3ft above MHHW (PACIOOS:gu_hcgg_all_slr_clu3)

This map shows the extent of flooding of low-lying inland coastal areas around Guam due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Guam at 5ft above MHHW (PACIOOS:gu_hcgg_all_slr_clu5)

This map shows the extent of flooding of low-lying inland coastal areas around Guam due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Guam at 0ft above MHHW (PACIOOS:gu_hcgg_all_slr_con0_i)

This map shows inland extent of coastal flooding (inundation) around Guam due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Guam at 2ft above MHHW (PACIOOS:gu_hcgg_all_slr_con2_i)

This map shows inland extent of coastal flooding (inundation) around Guam due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Guam at 4ft above MHHW (PACIOOS:gu_hcgg_all_slr_con4_i)

This map shows inland extent of coastal flooding (inundation) around Guam due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Guam at 6ft above MHHW (PACIOOS:gu_hcgg_all_slr_con6_i)

This map shows inland extent of coastal flooding (inundation) around Guam due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Guam at 1ft above MHHW (PACIOOS:gu_hcgg_all_slr_vuln1_i)

This map shows levels of confidence of coastal flooding (inundation) around Guam due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Guam at 3ft above MHHW (PACIOOS:gu_hcgg_all_slr_vuln3_i)

This map shows levels of confidence of coastal flooding (inundation) around Guam due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Guam at 5ft above MHHW (PACIOOS:gu_hcgg_all_slr_vuln5_i)

This map shows levels of confidence of coastal flooding (inundation) around Guam due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Coral Reefs (Distribution) - Guam (PACIOOS:gu_mcrmp_all_coralreefs)

Coral reef distribution for Guam, from the UNEP-WCMC Millennium Coral Reef Mapping Project.

Geological Attitude Observation Points - Guam (PACIOOS:gu_nps_all_geoattpts)

Geological Attitude Observation Points, Guam

Botanical Survey Transects - Guam (PACIOOS:gu_nps_wapa_botsrvy_comp)

Botanical survey transects undertaken in the War in the Pacific National Historic Park, Guam, Mariana Islands.

War in the Pacific National Historic Park - Guam (PACIOOS:gu_nps_wapa_parkbndry)

War in the Pacific National Historic Park, Guam, Mariana Islands. Ownership data (government/private) included.

Orote Ecological Reserve Area, Guam (PACIOOS:gu_weri_oro_ecoresarea)

Orote Ecological Reserve Area, Guam

Drainage, main streams - Southern Guam (PACIOOS:gu_weri_sog_drain_mainstrms)

Drainage, main streams - Southern Guam

Drainage, ponds & reservoirs - Southern Guam (PACIOOS:gu_weri_sog_drain_pondres)

This data set, which was initially created in 2006, contains lakes and fishponds of the island of Guam. The features were depicted of the USGS 7.5' Quadrangle Maps of 2000 (DGR's) and compared to the 2006 QuickBird imagery for currentness and exact location. The data set contains seasonal lakes which may no longer exist.

Drainage, waterfalls - Southern Guam (PACIOOS:gu_weri_sog_drain_wfall)

Drainage, waterfalls - Southern Guam

Urban areas - Southern Guam (PACIOOS:gu_weri_sog_pop_urban)

Urban areas - Southern Guam

Elevation Contours, 30m - Southern Guam (PACIOOS:gu_weri_sog_topo_30m)

Elevation Contours, 30m - Southern Guam

Watersheds, Major - Southern Guam (PACIOOS:gu_weri_sog_wshed_major)

Watersheds, major - Southern Guam

Guam Territorial Seashore Park (PACIOOS:gu_weri_tsp_bndry)

Guam Territorial Seashore Park. See http://documents.guam.gov/sites/default/files/E.O.-78-42-Guam-Territorial-Seashore-Park.pdf

Shoreline (type) - Guam (PACIOOS:gu_yl_all_coastalfeats_mod)

Shoreline type, Guam

Coastal Protection Values, Western Storms - Guam (PACIOOS:gu_yl_all_coastalprotectwest)

Coastal Protection Value of coral reefs from tropical storms coming from the west for Guam, Mariana Islands

Coral Tourism Value - Guam (PACIOOS:gu_yl_all_coraltourvalue)

Coral Tourism Value around Guam, Mariana Islands

Flood Plains - Southern Guam (PACIOOS:gu_yl_all_fldplancoverage)

Vector line coverage of flood plains on Guam.

Hook Line Fishing Areas - Guam (PACIOOS:gu_yl_all_hooklinefishnareas)

Hook line fishing areas around Guam, Mariana Islands

Park Locations - Guam (PACIOOS:gu_yl_all_parks)

Parks locations in Guam, Mariana Islands

Shore Fishing Areas - Guam (PACIOOS:gu_yl_all_shoresprfishnareas)

Shore fishing areas around Guam, Mariana Islands

Depth Soundings - Baker Island (PACIOOS:hbi_ocs_bak_soundings)

Depth soundings around Baker Island in meters.

Shoreline - Howland Island (PACIOOS:hbi_pac_how_shoreline)

Shoreline of Howland Island.

Predicted Coral Cover of Montipora capitata in the Hawaiian Islands (PACIOOS:hi_all_ef_coralreefs_mcap)

Output from a model to predict the benthic cover of Montipora capitata in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict M. capitata cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands.

Predicted Coral Cover of Montipora patula in the Hawaiian Islands (PACIOOS:hi_all_ef_coralreefs_mpat)

Output from a model to predict the benthic cover of Montipora patula in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict M. patula cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands.

Predicted Coral Cover of Porites lobata in the Hawaiian Islands (PACIOOS:hi_all_ef_coralreefs_plob)

Output from a model to predict the benthic cover of Porites lobata in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict P. lobata cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands.

Multi-Hazard Inundation: Honolulu, Hawaii (PACIOOS:hi_csp_hono_allflood_slr0m)

Multi-hazard inundation around Honolulu. The study area includes the urban corridor stretching from Honolulu International Airport to Waikiki and Diamond Head along the south shore of Oahu. Shows inundation from the following two hazards: 1) Tsunami Run-Up Inundation Computer model simulation of tsunami run-up inundation using current sea level at mean higher high water (MHHW) as its baseline water level. The model simulates maximum inundation based on five major historical tsunamis that have impacted Hawaiʻi: 1) The 1946 Aleutian earthquake (8.2 Mw), 2) 1952 Kamchatka earthquake (9.0 Mw), 3) 1957 Aleutian earthquake (8.6 Mw), 4) 1960 Chile earthquake (9.5 Mw), and 5) the 1964 Alaska earthquake (9.2 Mw). 2) Hurricane Storm Surge Inundation Computer model simulation of hurricane storm surge inundation using current sea level at mean higher high water (MHHW) as its baseline water level. The model simulates a Category 4 hurricane, similar to Hurricane Iniki which devastated the island of Kauai in 1992, with a central pressure ranging from 910 to 970 mbar and maximum sustained winds ranging from 90 to 150 mph as it tracked from open ocean to land to open ocean again. The model result shows the Maximum of the Maximum Envelope of High Water (MEOW), or MOM, providing a worst-case snapshot for a particular storm category under "perfect" storm conditions. Data produced in 2014 by Dr. Kwok Fai Cheung of the department of Ocean and Resources Engineering (ORE) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Multi-Hazard Inundation With 0.5-m Sea Level Rise: Honolulu, Hawaii (PACIOOS:hi_csp_hono_allflood_slrhm)

Multi-hazard inundation around Honolulu, Hawaii resulting from future sea level rise. The study area includes the urban corridor stretching from Honolulu International Airport to Waikiki and Diamond Head along the south shore of Oahu. Shows inundation from the following three hazards: 1) Sea Level Rise Inundation: 0.5-m Scenario Coastal flooding due to 0.5 meter of sea level rise. This scenario was derived using a National Geospatial Agency (NGA)-provided digital elevation model (DEM) based on LiDAR data of the Honolulu area collected in 2009. This "bare earth" DEM (vegetation and structures removed) was used to represent the current topography of the study area. The accuracy of the DEM was validated using a selection of 16 Tidal Benchmarks located within the study area. The single value tidal water surface of mean higher high water (MHHW) modeled at the Honolulu tide gauge was used to represent sea level for the purposes of this study. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). 2) Tsunami Run-Up Inundation With 0.5-m Sea Level Rise Computer model simulation of tsunami run-up inundation including half a meter of sea level rise at mean higher high water (MHHW) as its baseline water level. The model simulates maximum inundation based on five major historical tsunamis that have impacted Hawaiʻi: 1) The 1946 Aleutian earthquake (8.2 Mw), 2) 1952 Kamchatka earthquake (9.0 Mw), 3) 1957 Aleutian earthquake (8.6 Mw), 4) 1960 Chile earthquake (9.5 Mw), and 5) the 1964 Alaska earthquake (9.2 Mw). 3) Hurricane Storm Surge Inundation With 0.5-m Sea Level Rise Computer model simulation of hurricane storm surge inundation including half a meter of sea level rise at mean higher high water (MHHW) as its baseline water level. The model simulates a Category 4 hurricane, similar to Hurricane Iniki which devastated the island of Kauai in 1992, with a central pressure ranging from 910 to 970 mbar and maximum sustained winds ranging from 90 to 150 mph as it tracked from open ocean to land to open ocean again. The model result shows the Maximum of the Maximum Envelope of High Water (MEOW), or MOM, providing a worst-case snapshot for a particular storm category under "perfect" storm conditions. Data produced in 2014 by Dr. Charles "Chip" Fletcher of the department of Geology & Geophysics (G&G) (1) and Dr. Kwok Fai Cheung of the department of Ocean and Resources Engineering (ORE) (2 & 3) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation depths and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Hurricane Storm Surge Inundation With 1-m Sea Level Rise: Honolulu, Hawaii (PACIOOS:hi_csp_hono_hurflood_slr1m)

Computer model simulation of hurricane storm surge inundation around Honolulu, Hawaii including one meter of sea level rise at mean higher high water (MHHW) as its baseline water level. The study area includes the urban corridor stretching from Pearl Harbor to Waikiki and Diamond Head along the south shore of the island of Oahu. The model simulates a Category 4 hurricane, similar to Hurricane Iniki which devastated the island of Kauai in 1992, with a central pressure ranging from 910 to 970 mbar and maximum sustained winds ranging from 90 to 150 mph as it tracked from open ocean to land to open ocean again. The model result shows the Maximum of the Maximum Envelope of High Water (MEOW), or MOM, providing a worst-case snapshot for a particular storm category under "perfect" storm conditions. Model results produced in 2014 by Dr. Kwok Fai Cheung of the department of Ocean and Resources Engineering (ORE) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation depths and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Mean Higher High Water (MHHW) Sea Level: Honolulu, Hawaii (PACIOOS:hi_csp_hono_mhhw)

The single value tidal water surface of mean higher high water (MHHW) modeled at the Honolulu tide gauge is used to represent present-day sea level for the urban corridor stretching from Honolulu International Airport to Waikiki and Diamond Head along the south shore of Oahu in the state of Hawaii. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Land elevation was derived using a National Geospatial Agency (NGA)-provided digital elevation model (DEM) based on LiDAR data of the Honolulu area collected in 2009. This "bare earth" DEM (vegetation and structures removed) was used to represent the current topography of the study area above zero elevation. The accuracy of the DEM was validated using a selection of 16 Tidal Benchmarks located within the study area. Data produced in 2014 by Dr. Charles "Chip" Fletcher of the department of Geology & Geophysics (G&G) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Inundation: 1-m Scenario: Honolulu, Hawaii (PACIOOS:hi_csp_hono_slr1m)

This map shows coastal flooding around Honolulu, Hawaii due to 1 meter of sea level rise. This scenario was derived using a National Geospatial Agency (NGA)-provided digital elevation model (DEM) based on LiDAR data of the Honolulu area collected in 2009. This "bare earth" DEM (vegetation and structures removed) was used to represent the current topography of the study area above zero elevation for the urban corridor stretching from Honolulu International Airport to Waikiki and Diamond Head along the south shore of Oahu. The accuracy of the DEM was validated using a selection of 16 Tidal Benchmarks located within the study area. The single value tidal water surface of mean higher high water (MHHW) modeled at the Honolulu tide gauge was used to represent sea level for the purposes of this study. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by Dr. Charles "Chip" Fletcher of the department of Geology & Geophysics (G&G) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation depths and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Inundation: 3-ft Scenario: Honolulu, Hawaii (PACIOOS:hi_csp_hono_slr3ft)

This map shows coastal flooding around Honolulu, Hawaii due to 3 feet (0.914 m) of sea level rise. This scenario was derived using a National Geospatial Agency (NGA)-provided digital elevation model (DEM) based on LiDAR data of the Honolulu area collected in 2009. This "bare earth" DEM (vegetation and structures removed) was used to represent the current topography of the study area above zero elevation for the urban corridor stretching from Honolulu International Airport to Waikiki and Diamond Head along the south shore of Oahu. The accuracy of the DEM was validated using a selection of 16 Tidal Benchmarks located within the study area. The single value tidal water surface of mean higher high water (MHHW) modeled at the Honolulu tide gauge was used to represent sea level for the purposes of this study. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by Dr. Charles "Chip" Fletcher of the department of Geology & Geophysics (G&G) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation depths and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Inundation: 5-ft Scenario: Honolulu, Hawaii (PACIOOS:hi_csp_hono_slr5ft)

This map shows coastal flooding around Honolulu, Hawaii due to 5 feet (1.524 m) of sea level rise. This scenario was derived using a National Geospatial Agency (NGA)-provided digital elevation model (DEM) based on LiDAR data of the Honolulu area collected in 2009. This "bare earth" DEM (vegetation and structures removed) was used to represent the current topography of the study area above zero elevation for the urban corridor stretching from Honolulu International Airport to Waikiki and Diamond Head along the south shore of Oahu. The accuracy of the DEM was validated using a selection of 16 Tidal Benchmarks located within the study area. The single value tidal water surface of mean higher high water (MHHW) modeled at the Honolulu tide gauge was used to represent sea level for the purposes of this study. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by Dr. Charles "Chip" Fletcher of the department of Geology & Geophysics (G&G) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation depths and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Inundation: 0.5-m Scenario: Honolulu, Hawaii (PACIOOS:hi_csp_hono_slrhm)

This map shows coastal flooding around Honolulu, Hawaii due to 0.5 meter of sea level rise. This scenario was derived using a National Geospatial Agency (NGA)-provided digital elevation model (DEM) based on LiDAR data of the Honolulu area collected in 2009. This "bare earth" DEM (vegetation and structures removed) was used to represent the current topography of the study area above zero elevation for the urban corridor stretching from Honolulu International Airport to Waikiki and Diamond Head along the south shore of Oahu. The accuracy of the DEM was validated using a selection of 16 Tidal Benchmarks located within the study area. The single value tidal water surface of mean higher high water (MHHW) modeled at the Honolulu tide gauge was used to represent sea level for the purposes of this study. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by Dr. Charles "Chip" Fletcher of the department of Geology & Geophysics (G&G) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation depths and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Tsunami Run-Up Inundation With 1-m Sea Level Rise: Honolulu, Hawaii (PACIOOS:hi_csp_hono_tsuflood_slr1m)

Computer model simulation of tsunami run-up inundation around Honolulu, Hawaii including one meter of sea level rise at mean higher high water (MHHW) as its baseline water level. The study area includes the urban corridor stretching from Pearl Harbor to Waikiki and Diamond Head along the south shore of the island of Oahu. The model simulates maximum inundation based on five major historical tsunamis that have impacted Hawaiʻi: 1) The 1946 Aleutian earthquake (8.2 Mw), 2) 1952 Kamchatka earthquake (9.0 Mw), 3) 1957 Aleutian earthquake (8.6 Mw), 4) 1960 Chile earthquake (9.5 Mw), and 5) the 1964 Alaska earthquake (9.2 Mw). Model results produced in 2014 by Dr. Kwok Fai Cheung of the department of Ocean and Resources Engineering (ORE) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Supported in part by the NOAA Coastal Storms Program (CSP) and the University of Hawaii Sea Grant College Program. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation depths and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Streams (from DLNR, Division of Aquatic Resources (PACIOOS:hi_hcgg_all_darstreams)

Streams (both perennial and non‐perennial). Accessed from State of Hawaii DBEDT GIS site.

Government Land Ownership - Hawaiian Islands (PACIOOS:hi_hcgg_all_govjurisdiction_g)

Parcels - TMK - Labels - Hawaiian Islands (PACIOOS:hi_hcgg_all_parcelintersects)

TMK Parcels with Labels - Hawaiian Islands (PACIOOS:hi_hcgg_all_parcels_with_labels)

Transects for Historical Shorelines of Kauai, Maui and Oahu. (PACIOOS:hi_hcgg_all_transects)

Combined layer of transect layers for provided by Hawaii Coastal Geology Group for historical shoreline study. Includes shoreline change rates at the location of the transect.

Sea Level Rise Vulnerability (Ground) for Hawaii at 0ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_clu0)

This map shows the extent of flooding of low-lying inland coastal areas around Hawaii Island (Big Island) in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Hawaii at 2ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_clu2)

This map shows the extent of flooding of low-lying inland coastal areas around Hawaii Island (Big Island) in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Hawaii at 4ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_clu4)

This map shows the extent of flooding of low-lying inland coastal areas around Hawaii Island (Big Island) in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Hawaii at 6ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_clu6)

This map shows the extent of flooding of low-lying inland coastal areas around Hawaii Island (Big Island) in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Hawaii at 1ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_con1_i)

This map shows inland extent of coastal flooding (inundation) around Hawaii Island (Big Island) in the State of Hawaii due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Hawaii at 3ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_con3_i)

This map shows inland extent of coastal flooding (inundation) around Hawaii Island (Big Island) in the State of Hawaii due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Hawaii at 5ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_con5_i)

This map shows inland extent of coastal flooding (inundation) around Hawaii Island (Big Island) in the State of Hawaii due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Hawaii at 0ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_vuln0_i)

This map shows levels of confidence of coastal flooding (inundation) around Hawaii Island (Big Island) in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Hawaii at 2ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_vuln2_i)

This map shows levels of confidence of coastal flooding (inundation) around Hawaii Island (Big Island) in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Hawaii at 4ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_vuln4_i)

This map shows levels of confidence of coastal flooding (inundation) around Hawaii Island (Big Island) in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Hawaii at 6ft above MHHW (PACIOOS:hi_hcgg_bigi_slr_vuln6_i)

This map shows levels of confidence of coastal flooding (inundation) around Hawaii Island (Big Island) in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Historical Shorelines of Kauai (HCGG:hi_hcgg_kaua_shore_all)

Historical shorelines provided by Hawaii Coastal Geology Group for historical shoreline study.

Sea Level Rise Vulnerability (Ground) for Kauai at 0ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_clu0)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Kauai in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Kauai at 2ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_clu2)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Kauai in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Kauai at 4ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_clu4)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Kauai in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Kauai at 6ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_clu6)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Kauai in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Kauai at 1ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_con1_i)

This map shows inland extent of coastal flooding (inundation) around the island of Kauai in the State of Hawaii due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Kauai at 3ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_con3_i)

This map shows inland extent of coastal flooding (inundation) around the island of Kauai in the State of Hawaii due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Kauai at 5ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_con5_i)

This map shows inland extent of coastal flooding (inundation) around the island of Kauai in the State of Hawaii due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Kauai at 0ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_vuln0_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Kauai in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Kauai at 2ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_vuln2_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Kauai in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Kauai at 4ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_vuln4_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Kauai in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Kauai at 6ft above MHHW (PACIOOS:hi_hcgg_kaua_slr_vuln6_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Kauai in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Transects for the HCGG Historical Shoreline Study of Kauai - Eastern Region (HCGG:hi_hcgg_kaua_transects_ft_e)

Provided by Hawaii Coastal Geology Group. Includes shoreline change rates (feet/year) at the location of the transect. [http://www.soest.hawaii.edu/coasts/erosion/]

Transects for the HCGG Historical Shoreline Study of Kauai - Southern Region (HCGG:hi_hcgg_kaua_transects_ft_s)

Provided by Hawaii Coastal Geology Group. Includes shoreline change rates (feet/year) at the location of the transect. [http://www.soest.hawaii.edu/coasts/erosion/]

Sea Level Rise Vulnerability (Ground) for Lanai at 0ft above MHHW (PACIOOS:hi_hcgg_lana_slr_clu0)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Lanai in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Lanai at 2ft above MHHW (PACIOOS:hi_hcgg_lana_slr_clu2)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Lanai in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Lanai at 4ft above MHHW (PACIOOS:hi_hcgg_lana_slr_clu4)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Lanai in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Lanai at 6ft above MHHW (PACIOOS:hi_hcgg_lana_slr_clu6)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Lanai in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Lanai at 1ft above MHHW (PACIOOS:hi_hcgg_lana_slr_con1_i)

This map shows inland extent of coastal flooding (inundation) around the island of Lanai in the State of Hawaii due to 1 foot (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Lanai at 3ft above MHHW (PACIOOS:hi_hcgg_lana_slr_con3_i)

This map shows inland extent of coastal flooding (inundation) around the island of Lanai in the State of Hawaii due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Lanai at 5ft above MHHW (PACIOOS:hi_hcgg_lana_slr_con5_i)

This map shows inland extent of coastal flooding (inundation) around the island of Lanai in the State of Hawaii due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Coastal Services Center (CSC). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Lanai at 0ft above MHHW (PACIOOS:hi_hcgg_lana_slr_vuln0_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Lanai in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Lanai at 2ft above MHHW (PACIOOS:hi_hcgg_lana_slr_vuln2_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Lanai in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Lanai at 4ft above MHHW (PACIOOS:hi_hcgg_lana_slr_vuln4_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Lanai in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Lanai at 6ft above MHHW (PACIOOS:hi_hcgg_lana_slr_vuln6_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Lanai in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Historical Shorelines of Maui (HCGG:hi_hcgg_maui_shore_all)

Historical shorelines provided by Hawaii Coastal Geology Group for historical shoreline study.

Sea Level Rise Vulnerability (Ground) for Maui at 0ft above MHHW (PACIOOS:hi_hcgg_maui_slr_clu0)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Maui in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Maui at 2ft above MHHW (PACIOOS:hi_hcgg_maui_slr_clu2)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Maui in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Maui at 4ft above MHHW (PACIOOS:hi_hcgg_maui_slr_clu4)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Maui in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Maui at 6ft above MHHW (PACIOOS:hi_hcgg_maui_slr_clu6)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Maui in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Maui at 1ft above MHHW (PACIOOS:hi_hcgg_maui_slr_con1_i)

This map shows inland extent of coastal flooding (inundation) around the island of Maui in the State of Hawaii due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Maui at 3ft above MHHW (PACIOOS:hi_hcgg_maui_slr_con3_i)

This map shows inland extent of coastal flooding (inundation) around the island of Maui in the State of Hawaii due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Maui at 5ft above MHHW (PACIOOS:hi_hcgg_maui_slr_con5_i)

This map shows inland extent of coastal flooding (inundation) around the island of Maui in the State of Hawaii due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Maui at 0ft above MHHW (PACIOOS:hi_hcgg_maui_slr_vuln0_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Maui in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Maui at 2ft above MHHW (PACIOOS:hi_hcgg_maui_slr_vuln2_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Maui in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Maui at 4ft above MHHW (PACIOOS:hi_hcgg_maui_slr_vuln4_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Maui in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Maui at 6ft above MHHW (PACIOOS:hi_hcgg_maui_slr_vuln6_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Maui in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Transects for the HCGG Historical Shoreline Study of Maui - Kihei Region (HCGG:hi_hcgg_maui_transects_ft_k)

Provided by Hawaii Coastal Geology Group. Includes shoreline change rates (feet/year) at the location of the transect. [http://www.soest.hawaii.edu/coasts/erosion/]

Transects for the HCGG Historical Shoreline Study of Maui - Western Region (HCGG:hi_hcgg_maui_transects_ft_w)

Provided by Hawaii Coastal Geology Group. Includes shoreline change rates (feet/year) at the location of the transect. [http://www.soest.hawaii.edu/coasts/erosion/]

Sea Level Rise Vulnerability (Ground) for Molokai at 1ft above MHHW (PACIOOS:hi_hcgg_molo_slr_clu1)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Molokai in the State of Hawaii due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Molokai at 3ft above MHHW (PACIOOS:hi_hcgg_molo_slr_clu3)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Molokai in the State of Hawaii due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Molokai at 5ft above MHHW (PACIOOS:hi_hcgg_molo_slr_clu5)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Molokai in the State of Hawaii due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Molokai at 0ft above MHHW (PACIOOS:hi_hcgg_molo_slr_con0_i)

This map shows inland extent of coastal flooding (inundation) around the island of Molokai in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Molokai at 2ft above MHHW (PACIOOS:hi_hcgg_molo_slr_con2_i)

This map shows inland extent of coastal flooding (inundation) around the island of Molokai in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Molokai at 4ft above MHHW (PACIOOS:hi_hcgg_molo_slr_con4_i)

This map shows inland extent of coastal flooding (inundation) around the island of Molokai in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Molokai at 6ft above MHHW (PACIOOS:hi_hcgg_molo_slr_con6_i)

This map shows inland extent of coastal flooding (inundation) around the island of Molokai in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Molokai at 1ft above MHHW (PACIOOS:hi_hcgg_molo_slr_vuln1_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Molokai in the State of Hawaii due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Molokai at 3ft above MHHW (PACIOOS:hi_hcgg_molo_slr_vuln3_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Molokai in the State of Hawaii due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Molokai at 5ft above MHHW (PACIOOS:hi_hcgg_molo_slr_vuln5_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Molokai in the State of Hawaii due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

hi_hcgg_oahu_con_merge4_intersect (PACIOOS:hi_hcgg_oahu_con_merge4_intersect)

Historical Shorelines of Oahu (HCGG:hi_hcgg_oahu_shore_all)

Historical shorelines provided by Hawaii Coastal Geology Group for historical shoreline study.

Sea Level Rise Vulnerability (Ground) for Oahu at 0ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_clu0)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Oahu in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Oahu at 2ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_clu2)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Oahu in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Oahu at 4ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_clu4)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Oahu in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Oahu at 6ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_clu6)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Oahu in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Oahu at 1ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_con1_i)

This map shows inland extent of coastal flooding (inundation) around the island of Oahu in the State of Hawaii due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Oahu at 3ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_con3_i)

This map shows inland extent of coastal flooding (inundation) around the island of Oahu in the State of Hawaii due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Oahu at 5ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_con5_i)

This map shows inland extent of coastal flooding (inundation) around the island of Oahu in the State of Hawaii due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Oahu at 0ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_vuln0_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Oahu in the State of Hawaii due to 0 feet of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Oahu at 2ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_vuln2_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Oahu in the State of Hawaii due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Oahu at 4ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_vuln4_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Oahu in the State of Hawaii due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Oahu at 6ft above MHHW (PACIOOS:hi_hcgg_oahu_slr_vuln6_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Oahu in the State of Hawaii due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Coastal Services Center (CSC). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Transects for Historical Shorelines of Oahu (PACIOOS:hi_hcgg_oahu_tran_all)

Provided by Hawaii Coastal Geology Group. Includes shoreline change rates at the location of the transect.

Transects for the HCGG Historical Shoreline Study of Oahu - Northern Region (HCGG:hi_hcgg_oahu_transects_ft_n)

Provided by Hawaii Coastal Geology Group. Includes shoreline change rates (feet/year) at the location of the transect. [http://www.soest.hawaii.edu/coasts/erosion/]

Transects for the HCGG Historical Shoreline Study of Oahu - Western Region (HCGG:hi_hcgg_oahu_transects_ft_w)

Provided by Hawaii Coastal Geology Group. Includes shoreline change rates (feet/year) at the location of the transect. [http://www.soest.hawaii.edu/coasts/erosion/]

Shorelines - Main Hawaiian Islands (HCGG) (PACIOOS:hi_sohdop_all_shore_hcgg)

Shoreline - Jarvis Island (PACIOOS:jai_pac_all_shoreline)

Shoreline of Jarvis Island

Coral Reefs (Distribution) - Republic of the Marshall Islands (PACIOOS:mh_mcrmp_all_coralreefs)

Coral reef distribution for Republic of the Marshall Islands, from the UNEP-WCMC Millennium Coral Reef Mapping Project.

Atolls - Marshall Islands (PACIOOS:mh_mgd_maj_atolls)

Conservation Areas - Marshall Islands (PACIOOS:mh_mgd_maj_conservareas)

Dive Survey Locations - Marshall Islands (PACIOOS:mh_mgd_maj_dive_sites)

Passes - Marshall Islands (PACIOOS:mh_mgd_maj_passes)

Protected Areas - Marshall Islands (PACIOOS:mh_mgd_maj_protected_areas)

Territorial Seas - Marshall Islands (PACIOOS:mh_mgd_maj_territorial_seas)

Majuro Bathymetry With Contours (PACIOOS:mh_sopac_maj_bathy_color)

From multibeam bathymetry surveys carried out by SOPAC from 2003-2006. This work was implemented through the project "Reducing Vulnerability of Pacific States", funded by the European Development Fund. Ocean depth measured in meters.

Majuro Atoll Bathymetry: Eastern Reef (PACIOOS:mh_sopac_maj_bathy_reef_east)

From multibeam bathymetry surveys carried out by SOPAC from 2003-2006. This work was implemented through the project "Reducing Vulnerability of Pacific States", funded by the European Development Fund. Ocean depth measured in meters.

Vegetation (Draft) - Marshall Islands (PACIOOS:mh_usfs_comp_veg)

Draft USFS Vegetation for the Marshall Islands.

Sea Level Rise Vulnerability (Ground) for Saipan at 1ft above MHHW (PACIOOS:mp_hcgg_all_slr_clu1)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Saipan at 3ft above MHHW (PACIOOS:mp_hcgg_all_slr_clu3)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Ground) for Saipan at 5ft above MHHW (PACIOOS:mp_hcgg_all_slr_clu5)

This map shows the extent of flooding of low-lying inland coastal areas around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). These low-lying areas are not hydrologically connected to the ocean but have the potential for flooding based on their elevation and require more detailed analysis. The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Saipan at 0ft above MHHW (PACIOOS:mp_hcgg_all_slr_con0_i)

This map shows inland extent of coastal flooding (inundation) around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 0 feet of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Saipan at 2ft above MHHW (PACIOOS:mp_hcgg_all_slr_con2_i)

This map shows inland extent of coastal flooding (inundation) around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 2 feet (0.610 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Saipan at 4ft above MHHW (PACIOOS:mp_hcgg_all_slr_con4_i)

This map shows inland extent of coastal flooding (inundation) around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 4 feet (1.219 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Coastal) for Saipan at 6ft above MHHW (PACIOOS:mp_hcgg_all_slr_con6_i)

This map shows inland extent of coastal flooding (inundation) around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 6 feet (1.829 m) of sea level rise above mean higher high water (MHHW), created by subtracting the NOAA VDATUM MHHW surface from a digital elevation model (DEM). The resolution of the DEM is 3 meters and was derived from the best available LiDAR data sets known to exist at the time of creation. Water levels are shown as they would appear during the highest high tides (excluding wind-driven tides). Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Saipan at 1ft above MHHW (PACIOOS:mp_hcgg_all_slr_vuln1_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 1 foot (0.305 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Coastal Services Center (CSC). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Saipan at 3ft above MHHW (PACIOOS:mp_hcgg_all_slr_vuln3_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 3 feet (0.914 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Sea Level Rise Vulnerability (Confidence) for Saipan at 5ft above MHHW (PACIOOS:mp_hcgg_all_slr_vuln5_i)

This map shows levels of confidence of coastal flooding (inundation) around the island of Saipan in the Commonwealth of the Northern Mariana Islands (CNMI) due to 5 feet (1.524 m) of sea level rise above mean higher high water (MHHW). Blue areas denote a high confidence of inundation, orange areas denote a low confidence of inundation, and unshaded areas denote a high confidence that these areas will be dry at this water level. In this application, 80% is considered a high degree of confidence such that, for example, the blue areas denote locations that may be correctly mapped as "inundated" more than 8 out of 10 times. Areas with a low degree of confidence represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Confidence mapping is a fairly complicated procedure that is explained in detail in "Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models" available at "http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1". In short, the method includes the uncertainty in the LiDAR-derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM MHHW (RMSE). This uncertainty is combined and mapped to show that inundation extent is not really a hard line, but rather a zone with greater and lesser chances of getting wet. Data produced in 2014 by NOAA Office for Coastal Management (OCM). These data do not consider future changes in coastal geomorphology and natural processes such as erosion, subsidence, or future construction. These data do not specify timing of inundation and are not appropriate for conducting detailed spatial analysis. The entire risk associated with the results and performance of these data is assumed by the user. These data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

QuickBird Imagery of Anatahan, CNMI, 2006 (PACIOOS:mp_hw_ana_qbirdRGB_2006)

QuickBird Imagery of Anatahan, Commonwealth of the Northern Mariana Islands, 2006.

Coral Reefs (Distribution) - Northern Mariana Islands (PACIOOS:mp_mcrmp_all_coralreefs)

Coral reef distribution for Northern Mariana Islands, from the UNEP-WCMC Millennium Coral Reef Mapping Project.

Aerial Mosaic of Anatahan, CNMI (PACIOOS:mp_noaa_ana_swbh_mosaic_clip1km)

Aerial Mosaic of Anatahan, Commonwealth of the Northern Mariana Islands.

Benthic Habitats - Northern Mariana Islands (PACIOOS:mp_noaa_comp_swbh_habitat)

Shallow water benthic habitats of the Northern Mariana Islands

Aerial Mosaic of Guguan, CNMI (PACIOOS:mp_noaa_gug_swbh_mosaic_clip1km)

Aerial Mosaic of Guguan, Commonwealth of the Northern Mariana Islands.

Aerial Mosaic of Rota, CNMI (PACIOOS:mp_noaa_rot_swbh_mosaic_clip1km)

Aerial Mosaic of Rota, Commonwealth of the Northern Mariana Islands.

Beacon locations - Saipan (PACIOOS:mp_ocs_sai_beacons)

Beacon locations around Saipan, Northern Mariana Islands

Depth Soundings - Saipan, Tinian & Aguijan (PACIOOS:mp_ocs_sta_soundings)

Depth soundings around Saipan, Tinian and Aguijan, Northern Mariana Islands in meters.

Channels - Saipan & Tinian (PACIOOS:mp_ocs_sti_channels)

Channels around Saipan & Tinian, Northern Mariana Islands

Obstruction Points - Saipan & Tinian (PACIOOS:mp_ocs_sti_obstructpt)

Obstruction points around Saipan and Tinian, Northern Mariana Islands

Vegetation - Northern Mariana Islands (PACIOOS:mp_usfs_comp_veg)

Vegetation of the Saipan, Rota & Tinian, Northern Mariana Islands. Compiled from the individual layers for each island.

Labels - Countries (PACIOOS:pac_pac_labels_country_created)

Labels of Country Names (labels for 'Shorelines -World')

Shoreline - Palmyra Atoll (PACIOOS:pat_ocs_all_shoreline)

Shoreline of Palmyra Atoll

Coral Reefs (distribution) - Palau (PACIOOS:pw_mcrmp_all_coralreefs)

Coral reef distribution for Palau, from the UNEP-WCMC Millennium Coral Reef Mapping Project.

Airports - Palau (PACIOOS:pw_plrs_all_airports)

PALARIS airports in Palau.

Buildings - Palau (PACIOOS:pw_plrs_all_bldngs)

PALARIS facility buildings in Palau.

Conservation Points - Palau (PACIOOS:pw_plrs_all_conservsites)

PALARIS conservation points in Palau.

Dive Sites - Palau (PACIOOS:pw_plrs_all_divesites)

PALARIS dive sites in Palau.

Historic Sites - Palau (PACIOOS:pw_plrs_all_historicsites)

PALARIS historic sites in Palau.

Marsh Habitat - Palau (PACIOOS:pw_plrs_all_marsh)

PALARIS habitat layer for marsh areas in Palau.

Political Boundary Lines - Palau (PACIOOS:pw_plrs_all_political_bndry_line)

PALARIS political boundary lines for Palau.

Roads - Palau (PACIOOS:pw_plrs_all_roads)

PALARIS roads in Palau.

Schools - Palau (PACIOOS:pw_plrs_all_schools)

PALARIS schools in Palau.

Sewer Branch Lines - Palau (PACIOOS:pw_plrs_all_sewer_lines)

PALARIS infrastructure layer for sewer branch lines in Palau.

Tourist Sites - Palau (PACIOOS:pw_plrs_all_touristsites)

PALARIS tourist sites in Palau.

Shoreline - Melekeok, Palau (PACIOOS:pw_plrs_mele_shore)

PALARIS Melekeok Risk Assessment layer for normal shoreline in Palau.

Extreme Tide +25 - Melekeok, Palau (PACIOOS:pw_plrs_mele_shore_xtide_025)

PALARIS Melekeok Risk Assessment layer for shoreline during an extreme tide event +25 in Palau.

Extreme Tide +100 - Melekeok, Palau (PACIOOS:pw_plrs_mele_shore_xtide_100)

PALARIS Melekeok Risk Assessment layer for shoreline during an extreme tide event +100 in Palau.

Extreme Tide +200 - Melekeok, Palau (PACIOOS:pw_plrs_mele_shore_xtide_200)

PALARIS Melekeok Risk Assessment layer for shoreline during an extreme tide event +200 in Palau.

Political Boundaries - Sonsorol, Palau (PACIOOS:pw_plrs_sons_bndry)

PALARIS political boundaries for Sonsorol, Palau.

Shoreline - Wake Island (PACIOOS:wai_ocs_all_shoreline)

Shoreline of Wake Island

Coral Reefs (Distribution) - Wake Island (PACIOOS:wat_mcrmp_all_coralreefs)

EEZs of the US Pacific Territories (PACIOOS:wgs_USterr_eez_bdy_east)

Exclusive Economic Zones of the US Pacific Territories.

Global Distribution of Coral Reefs (2010) (PACIOOS:world_unepwcmc_coralreefs2010)

The dataset represents the global distribution of warm water coral reefs and should be seen an ‘interim’ global product. It has been compiled from a number of data sources which have been merged together by UNEP-WCMC and the WorldFish Centre in collaboration with WRI and TNC. It supersedes the dataset used in the World Atlas of Coral Reefs (2001), although some aspects of this product still originate from that data source. This amalgamated dataset has been created to further mobilise the Millennium Coral Reef Map Products and their validation. This data set should by no means replace the official release of the Millennium coral reef map and users should always check at the official sites for the most up-to-date available information. This dataset does not contain the full 5 level geomorphological categorisation. In part, for the validated products, it maintains the simplified Reefbase subset but for the remaining areas i.e. the unvalidated data and data from other sources, there is only a single class to indicate coral reef. For more information go to http://data.unep-wcmc.org/datasets/13