LIST 

Service health Now: 

LIST (unverified)
Contact information:
Christian Braun
LIST
66, rue de Luxembourg, 4221 EschsurAlzette, Luxembourg
Email:
Phone: 00352 425991 6608
This installation serves different WebService types (WMS, WFS) for testing
WebService Demo with data stored at LIST site (LIST_RO_testenvironment)
This installation serves different WebService types (WMS, WFS) for testing
Landsat5 TM (RO_ls5)
Landsat 5 image stack used for estimating Urban Heat Islands effects.
Arial Views (RO_arialviews)
Arial Views of the inner city area of Rotterdam. Date of views: 2010
DSM Lijnbaan (ro_dsm_lijnbaan)
Digital Surface Model (DSM) raster data set of inner city Rotterdam
HOOGTEBESTAND 2014 MAAIVELD Rozenburg (gwr_basis_hbes_2014mv_rozenburg)
DSM full (ro_dsm_full)
Digital Surface Model (DSM) raster data set of entire city of Rotterdam
DSM subset (ro_dsm_mini)
This a test data set of Rotterdams DSM subset
Bolspolder building footprints (bospolder_building_footprints)
Data set of building footprints in Rotterdam Bospolder area
Building footprints (RO_building_footprints)
Data set of building footprints in Rotterdam city area
Building footprints subset (RO_building_footprints_mini)
This a test data set of building footprints in Rotterdam for a small test area.
Training features (RO_training_areas)
This a test data set of training areas used for roof classification in Rotterdam for Lijnbaan area
Training features for Bospolder area (RO_training_bospolder)
This a test data set of training areas used for roof classification in Rotterdam for Bospolder area
Training features for Rozenburg area (RO_training_rozenburg)
This a test data set of training areas used for roof classification in Rotterdam for Rozenburg area
Training features subset (RO_training_areas_mini)
This a test data set of training areas used for roof classification in Rotterdam for a small test area
Solar irradiation (ROLijnbaan) (kWh/m²a) (ro_irra)
This a result data set of a solar computation of Ljinbaan area. It shows the sum of kWh/a per sqmeter for 2010
Solar irradiation (ROcentre) (kWh/m²a) (ro_irra_centre)
This a result data set of a solar computation of Rotterdam centre. It shows the sum of kWh/a per sqmeter for 2010
Solar irradiation (ROpublic buildings) (kWh/m²a) (ro_irra_schools)
This a result data set of a solar computation of public buildings. It shows the sum of kWh/a per sqmeter for 2010
Solar irradiation (ROwest) (kWh/m²a) (ro_irra_ext)
This a result data set of a solar computation of extended Rotterdam area. It shows the sum of kWh/a per sqmeter for 2010
Cloud cover for whole Rotterdam city (RO_octa_poly)
Data set defining cloudiness (in octa) factor. Values on a daily 30 year average basis for the entire city.
Linke factor (RO_linke_poly)
Data set of Linke factor. Values on a monthly basis for the entire city.
Ratio diffuse/global irradiation (RO_ratio_poly)
Data set defining Diffuse/Global radiation factor. Values on a monthly basis for the entire city
PV costs (multi) (Euro/kWh) (pv_potential_multi_ce)
PV costs (mono) (Euro/kWh) (pv_potential_mono_c_e)
PV costs (amorph) (Euro/kWh) (pv_potential_amo_c_e)
PV potential (multi) (kWh/a) (pv_potential_multi_elec)
PV potential (mono) (kWh/a) (pv_potential_mono_elec)
PV potential (amorph) (kWh/a) (pv_potential_amo_elec)
Building ages at post code (pc5_input_data_elec)
Space heating demand at block (kWh/m²a) (space_heating_demand)
Electricity demand at block (kWh/m²a) (electricity_demand)
Energy savings  total at block (kWh/m²a) (energy_savings)
All Rotterdam buildings (BAG_PANDEN_GUID_vlakken)
All Rotterdam building footprints (BAG_PANDEN_GUID_vlakken_nonfilled)
Input data at aggregated level (postcode area level) (post_code)
A vector polygon dataset containing data at an aggregated level used as input to run the model for natural gas consumption. Polygons represent the areas where consumption data are available (e.g. postcode areas). The following attributes should be attached: ID for the area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters; percentage of dwellings belonging to a certain typology (26 different typologies foreseen).
Input data at aggregated level (postcode area level) subset (post_code_clip)
A vector polygon dataset containing data at an aggregated level used as input to run the model for natural gas consumption. Polygons represent the areas where consumption data are available (e.g. postcode areas). The following attributes should be attached: ID for the area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters; percentage of dwellings belonging to a certain typology (26 different typologies foreseen).
Input data at aggregated level (postcode area level) subset (post_code_clip_3)
A vector polygon dataset containing data at an aggregated level used as input to run the model for natural gas consumption. Polygons represent the areas where consumption data are available (e.g. postcode areas). The following attributes should be attached: ID for the area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters; percentage of dwellings belonging to a certain typology (26 different typologies foreseen).
Input data at aggregated level (postcode area level) subset (post_code_clip_4)
A vector polygon dataset containing data at an aggregated level used as input to run the model for natural gas consumption. Polygons represent the areas where consumption data are available (e.g. postcode areas). The following attributes should be attached: ID for the area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters; percentage of dwellings belonging to a certain typology (26 different typologies foreseen).
Block level used to show results (target level) (block)
Map of blocks.
Block level used to show results (target level) subset (block_clip)
Map of blocks.
Block level used to show results (target level) subset (block_clip_3)
Map of blocks.
Input data at disaggregated level (address level) (address)
A vector point layer containing input data at address level, used to predict the natural gas consumption of dwellings. The following attributes should be attached: ID for postcode area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters.
Input data at disaggregated level (address level) subset (address_clip)
A vector point layer containing input data at address level, used to predict the natural gas consumption of dwellings. The following attributes should be attached: ID for postcode area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters.
Input data at disaggregated level (address level) subset (address_clip_3)
A vector point layer containing input data at address level, used to predict the natural gas consumption of dwellings. The following attributes should be attached: ID for postcode area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters.
Input data at disaggregated level (address level) subset (address_clip_4)
A vector point layer containing input data at address level, used to predict the natural gas consumption of dwellings. The following attributes should be attached: ID for postcode area; average natural gas consumption of dwellings in cube meters; average floor surface of dwellings in square meters.
Building footprints (GML) (RO_buildings_gml)
Data set of building footprints in Rotterdam city area for the slider demo
Lijnbaan clipping (RO_clip_lijnbaan)
Data set defining area of interest for different calculations.
Rozenburg clipping (RO_clip_rozenburg)
Data set defining area of interest for different calculations.
Bospolder clipping (RO_clip_bospolder)
Data set defining area of interest for different calculations.
Tiny test region clipping (RO_clip_mini)
Data set defining area of interest for different calculations.
PV potential in the Lijnbaan neighbourhood (pv_potential)
Contiguous roof top areas suitable for PV installation. Includes costs and generation figures for three different polymers: Monocrystalline, Multicrystalline and Amorphous
Roof patches (roof_patches)
Continuous roof top areas suitable for PV or green roof installation.
Energy savings potential (energy_savings_sliders)
Buildings suitable for renovation measures.
Energy savings potential  sample (energy_savings_sample)
Buildings suitable for renovation measures.
Energy consumption of residential buildings (energy_consumption_res_buildings)
Total energy consumption of residential buildings for space heating and domestic hot water (MWh).
Energy savings of residential buildings (energy_savings_res_buildings)
Total energy savings of residential buildings for space heating and domestic hot water (MWh).
Cost of energy savings [Euro/MWh] (cost_energy_savings)
Cost of energy savings [Euro/MWh].
There are currently no notifications for the service, click the feed icon to subscribe.