Smart Altitude - WebGIS Layers [WIKIAlps

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===== Smart Altitude - WebGIS Layers =====

^Content Tree^Dataset^Description^Units^Format^Date^Note|
|<font 12px/inherit;;inherit;;inherit>**Ski Resorts → Key Performance Indicators (KPI)**</font>|<font 12px/inherit;;inherit;;inherit>Ski resorts KPIs are measurable values that demonstrates how effectively the ski resort is achieving key business objectives. For more information see [[http://www.wikialps.eu/lib/exe/fetch.php?media=wiki:smart-altitude_wi-emt_evaluation-report_final_xxx.pdf|Description ski resort KPIs as output of the Winter Energy Management Tool (Wi-EMT)]]</font>||<font 12px/inherit;;inherit;;inherit>Unit: 1-5 as weighted average of scores regarding following parameters:</font>| |<font 12px/inherit;;inherit;;inherit>For four Living Labs in the Alpine Space</font>| |
| |<font 12px/inherit;;inherit;;inherit>Overall Ski-Resort KPI (OV)</font>|<font 12px/inherit;;inherit;;inherit>This value is designed as average of scores from the 8 following KPIs.</font>  | | | | |
| |<font 12px/inherit;;inherit;;inherit>Energy Efficiency (E_EF)</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Energy Economy (E_EC)</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Sustainability (S)</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Energy Management (EM)</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Smart Grid (SG)</font>| | | | | |
| |<font 12px/inherit;;inherit;;inherit>Adaptation to Climate Change (ACC)</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Self Evaluation (SE)</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Future Outlook (FO)</font>  | | | | | |
|<font 12px/inherit;;inherit;;inherit>**Ski Resorts → Open Ski Map **</font>|<font 12px/inherit;;inherit;;inherit>Through the Open Ski Map ski related datasets can be found, which are implemented in the Smart Altitude WebGIS.</font>  || | |<font 12px/inherit;;inherit;;inherit>Downloaded 09.08.2019</font>  | |
| |<font 12px/inherit;;inherit;;inherit>Pistes</font>  | | |<font 12px/inherit;;inherit;;inherit>Line Vectors</font>  | | |
| |<font 12px/inherit;;inherit;;inherit>Aerialways</font>  | | |<font 12px/inherit;;inherit;;inherit>Line Vectors</font>  | | |
| |<font 12px/inherit;;inherit;;inherit>Ski Resorts</font>  | | |<font 12px/inherit;;inherit;;inherit>Polygons</font>  | | |
| |<font 12px/inherit;;inherit;;inherit>Pistes length per LAU</font>  | | |<font 12px/inherit;;inherit;;inherit>Polygons</font>  | | |
| |<font 12px/inherit;;inherit;;inherit>Pistes length per resort</font>  | | |<font 12px/inherit;;inherit;;inherit>Polygons</font>  | | |
|<font 12px/inherit;;inherit;;inherit>**Ski Resorts → Smart Altitude Study Sites**</font>  |<font 12px/inherit;;inherit;;inherit>The WebGIS offers different border layers concerning the Alpine Space.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygons</font>| | |
| |<font 12px/inherit;;inherit;;inherit>Alpine Space Area</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Alpine Convention Area</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Smart Altitude – Case Study Areas (Ski Resort LAU Communities)</font>  | | | | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Solar → Global Solar Atlas (GSA Version 2.0) **</font>|<font 12px/inherit;;inherit;;inherit>The Global Solar Atlas offers long-term yearly/monthly averaged daily totals of several datasets for solar resources and the photovoltaic power potential. The data presented here is only suitable for preliminary analysis.</font>  || |<font 12px/inherit;;inherit;;inherit>Raster, 1x1km</font>| | |
| |<font 12px/inherit;;inherit;;inherit>Photovoltaic Electricity Output (PVOUT)</font>  |<font 12px/inherit;;inherit;;inherit>Amount of energy, converted by a PV system into electricity that is expected to be generated according to the geographical conditions of a site and the configuration of a PV system.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/kWp]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>Global Horizontal Irradiation (GHI)</font>  |<font 12px/inherit;;inherit;;inherit>Sum of direct and diffuse components of solar radiation.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m<sup>2</sup> ]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>Diffuse Horizontal Irradiation (DIF)</font>  |<font 12px/inherit;;inherit;;inherit>Solar radiation component that is scattered by the atmosphere.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m²]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>Global Irradiation for Optimally Tilted Surface (GTI)</font>  |<font 12px/inherit;;inherit;;inherit>Sum of direct and diffuse solar radiation falling on a tilted surface of fixed-mounted PV modules. Compared to the horizontal surface, the tilted surface also receives a small amount of ground-reflected solar radiation.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m²]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>Optimum Tilt to Maximize Yearly Yield (OPTA)</font>  |<font 12px/inherit;;inherit;;inherit>Optimum inclination of an inclined and fixed PV module for a specific azimuth (orientation), for which the PV modules receive the highest amount of solar radiation per year.</font>  |<font 12px/inherit;;inherit;;inherit>[°]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>Direct Normal Irradiation (DNI)</font>  |<font 12px/inherit;;inherit;;inherit>Solar radiation component that directly reaches the surface.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m²]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>Air Temperature at 2m AGL (TEMP)</font>  |<font 12px/inherit;;inherit;;inherit>Air temperature determines the temperature of PV cells and modules. It has a direct impact on PV energy conversion efficiency and resulting energy losses.</font>  |<font 12px/inherit;;inherit;;inherit>[°C]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>Terrain Elevation ASL (ELE)</font>  |<font 12px/inherit;;inherit;;inherit>Represents terrain elevation (altitude) relative to the sea level. Only data for the land area is shown.</font>  |<font 12px/inherit;;inherit;;inherit>[m]</font>|<font 12px/inherit;;inherit;;inherit>Raster, 90x90m</font>| | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Solar → Global Solar Atlas (GSA Version 2.0) → Median per LAU**</font>|<font 12px/inherit;;inherit;;inherit>The Global Solar Atlas offers long-term yearly/monthly averaged daily totals of several datasets for solar resources and the photovoltaic power potential. The data presented here is only suitable for preliminary analysis.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygon</font>| | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Photovoltaic Electricity Output (PVOUT)</font>  |<font 12px/inherit;;inherit;;inherit>Amount of energy, converted by a PV system into electricity that is expected to be generated according to the geographical conditions of a site and the configuration of a PV system.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/kWp]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Global Horizontal Irradiation (GHI)</font>  |<font 12px/inherit;;inherit;;inherit>Sum of direct and diffuse components of solar radiation.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m<sup>2</sup> ]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Diffuse Horizontal Irradiation (DIF)</font>  |<font 12px/inherit;;inherit;;inherit>Solar radiation component that is scattered by the atmosphere.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m²]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Global Irradiation for Optimally Tilted Surface (GTI)</font>  |<font 12px/inherit;;inherit;;inherit>Sum of direct and diffuse solar radiation falling on a tilted surface of fixed-mounted PV modules. Compared to the horizontal surface, the tilted surface also receives a small amount of ground-reflected solar radiation.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m²]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Optimum Tilt to Maximize Yearly Yield (OPTA)</font>  |<font 12px/inherit;;inherit;;inherit>Optimum inclination of an inclined and fixed PV module for a specific azimuth (orientation), for which the PV modules receive the highest amount of solar radiation per year.</font>  |<font 12px/inherit;;inherit;;inherit>[°]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Direct Normal Irradiation (DNI)</font>  |<font 12px/inherit;;inherit;;inherit>Solar radiation component that directly reaches the surface.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m²]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Air Temperature at 2m AGL (TEMP)</font>  |<font 12px/inherit;;inherit;;inherit>Air temperature determines the temperature of PV cells and modules. It has a direct impact on PV energy conversion efficiency and resulting energy losses.</font>  |<font 12px/inherit;;inherit;;inherit>[°C]</font>  | | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Solar → Hotmaps Project **</font>|<font 12px/inherit;;inherit;;inherit>The EU project Hotmaps collected data on energy potential of renewable sources and re-elaborated them on national level, in order to build datasets for all EU28 countries at NUTS3 level. Several renewable sources have been considered. All Hotmaps data must be interpreted as indicators.</font>  || |<font 12px/inherit;;inherit;;inherit>Raster, 100x100m</font>| | |
| |<font 12px/inherit;;inherit;;inherit>Solar Energy Potential</font>  |<font 12px/inherit;;inherit;;inherit>Data on annual global radiation on globally inclined surfaces were retrieved from the PVGIS as a 1km x 1km raster layer and clipped by considering the building footprint with a resolution of 100m x 100m from Copernicus Services.</font>  |<font 12px/inherit;;inherit;;inherit>[kWh/m²]</font>  | |<font 12px/inherit;;inherit;;inherit>Downloaded 10.08.2019</font>| |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Global Wind Atlas (GWA Version 3.0) → Wind Energy Layers **</font>|<font 12px/inherit;;inherit;;inherit>The Global Wind Atlas is a free, web-based application developed to help policymakers, planners, and investors to identify high-wind areas for wind power generation, and then perform preliminary calculations. A high value indicates a high potential for renewable energy from wind.</font>  || |<font 12px/inherit;;inherit;;inherit>Raster, 1x1km</font>|  <font 12px/inherit;;inherit;;inherit>Simulation period 2008-2017</font>| |
| |<font 12px/inherit;;inherit;;inherit>Capacity Factor IEC Class 1</font>  |<font 12px/inherit;;inherit;;inherit>High wind</font>  | | | | |
| |<font 12px/inherit;;inherit;;inherit>Capacity Factor IEC Class 2</font>  |<font 12px/inherit;;inherit;;inherit>Medium wind</font>  | | | | |
| |<font 12px/inherit;;inherit;;inherit>Capacity Factor IEC Class 3</font>  |<font 12px/inherit;;inherit;;inherit>Low wind</font>  | | | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Global Wind Atlas (GWA Version 3.0) → Wind Energy Layers → Median per LAU**</font>|<font 12px/inherit;;inherit;;inherit>The Global Wind Atlas is a free, web-based application developed to help policymakers, planners, and investors to identify high-wind areas for wind power generation, and then perform preliminary calculations. A high value indicates a high potential for renewable energy from wind.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygon</font>|  <font 12px/inherit;;inherit;;inherit>Simulation period 2008-2017</font>| |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Capacity Factor IEC Class 1</font>  |<font 12px/inherit;;inherit;;inherit>High wind</font>  | | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Capacity Factor IEC Class 2</font>  |<font 12px/inherit;;inherit;;inherit>Medium wind</font>  | | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: Capacity Factor IEC Class 3</font>  |<font 12px/inherit;;inherit;;inherit>Low wind</font>  | | | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Global Wind Atlas (GWA Version 3.0) → Wind-Speed at a height of **</font>|<font 12px/inherit;;inherit;;inherit>Mean wind speed at a specific height is a measure of the wind resource. Higher values normally indicate better wind resources, but mean wind power density gives a more accurate indication of the available wind resource.</font>  || |<font 12px/inherit;;inherit;;inherit>Raster, 1x1km</font>|<font 12px/inherit;;inherit;;inherit>Simulation period 2008-2017</font>| |
| |<font 12px/inherit;;inherit;;inherit>10m</font>| |<font 12px/inherit;;inherit;;inherit>[m/s]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>50m</font>| |<font 12px/inherit;;inherit;;inherit>[m/s]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>100m</font>| |<font 12px/inherit;;inherit;;inherit>[m/s]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Global Wind Atlas (GWA Version 3.0) → Wind-Speed at a height of → Median per LAU**</font>|<font 12px/inherit;;inherit;;inherit>Mean wind speed at a specific height is a measure of the wind resource. Higher values normally indicate better wind resources, but mean wind power density gives a more accurate indication of the available wind resource.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygon</font>|<font 12px/inherit;;inherit;;inherit>Simulation period 2008-2017</font>| |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 10m</font>| |<font 12px/inherit;;inherit;;inherit>[m/s]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 50m</font>| |<font 12px/inherit;;inherit;;inherit>[m/s]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 100m</font>| |<font 12px/inherit;;inherit;;inherit>[m/s]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Global Wind Atlas (GWA Version 3.0) → Power-Density at a height of **</font>|<font 12px/inherit;;inherit;;inherit>Mean wind power density at a specific height is a measure of the wind resource. Higher values indicate better wind resources.</font>  || |<font 12px/inherit;;inherit;;inherit>Raster, 1x1km</font>|<font 12px/inherit;;inherit;;inherit>Simulation period 2008-2017</font>| |
| |<font 12px/inherit;;inherit;;inherit>10m</font>| |<font 12px/inherit;;inherit;;inherit>[W/m²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>50m</font>| |<font 12px/inherit;;inherit;;inherit>[W/m²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>100m</font>| |<font 12px/inherit;;inherit;;inherit>[W/m²]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Global Wind Atlas (GWA Version 3.0) → Power-Density at a height of → Median per LAU**</font>|<font 12px/inherit;;inherit;;inherit>Mean wind power density at a specific height is a measure of the wind resource. Higher values indicate better wind resources.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygon</font>|<font 12px/inherit;;inherit;;inherit>Simulation period 2008-2017</font>| |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 10m</font>| |<font 12px/inherit;;inherit;;inherit>[W/m²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 50m</font>| |<font 12px/inherit;;inherit;;inherit>[W/m²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 100m</font>| |<font 12px/inherit;;inherit;;inherit>[W/m²]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Global Wind Atlas (GWA Version 3.0) → Air-Density at a height of **</font>|<font 12px/inherit;;inherit;;inherit>Mean air density at a specific height is a measure of the wind resource.</font>  || |<font 12px/inherit;;inherit;;inherit>Raster, 1x1km</font>|<font 12px/inherit;;inherit;;inherit>Simulation period 2008-2017</font>| |
| |<font 12px/inherit;;inherit;;inherit>10m</font>| |<font 12px/inherit;;inherit;;inherit>[kg/m³]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>50m</font>| |<font 12px/inherit;;inherit;;inherit>[kg/m³]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>100m</font>| |<font 12px/inherit;;inherit;;inherit>[kg/m³]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Global Wind Atlas (GWA Version 3.0) → Air-Density at a height of → Median per LAU**</font>|<font 12px/inherit;;inherit;;inherit>Mean air density at a specific height is a measure of the wind resource.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygon</font>|<font 12px/inherit;;inherit;;inherit>Simulation period 2008-2017</font>| |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 10m</font>| |<font 12px/inherit;;inherit;;inherit>[kg/m³]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 50m</font>| |<font 12px/inherit;;inherit;;inherit>[kg/m³]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>LAU median: 100m</font>| |<font 12px/inherit;;inherit;;inherit>[kg/m³]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Wind → Hotmaps Project **</font>|<font 12px/inherit;;inherit;;inherit>This data shows the total energy potential of wind in the EU28 at NUTS3 level. The original dataset is the Wind Global Atlas, which was aggregated at NUTS3 level, through the CORINE Land Cover and by excluding urban areas, bird connectivity corridors, mountain peaks over 2500m and protected areas from the Natura 2000 framework.</font>  || |<font 12px/inherit;;inherit;;inherit>Raster, 300x300m</font>| | |
| |<font 12px/inherit;;inherit;;inherit>Power Density Potential at 50m height</font>  | |<font 12px/inherit;;inherit;;inherit>[W/m²]</font>| |<font 12px/inherit;;inherit;;inherit>Downloaded 10.08.2019</font>| |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Geothermal → Thermomap Project / Hotmaps Project **</font>|<font 12px/inherit;;inherit;;inherit>Data on very shallow geothermal energy potential (up to 10 metres) were retrieved from the project Thermomap as a vector layer and presented in the Hotmaps project without further eleboration.</font>|| |<font 12px/inherit;;inherit;;inherit>Polygon</font>|<font 12px/inherit;;inherit;;inherit>Downloaded 10.08.2019</font>| |
| |<font 12px/inherit;;inherit;;inherit>Thermomap (Geothermal Energy Potential)</font>  | |<font 12px/inherit;;inherit;;inherit>[W/m K]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Average per LAU: Geothermal energy potential</font>  | |<font 12px/inherit;;inherit;;inherit>[W/m K]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Geothermal → GEOELEC Project**</font>|   | | |<font 12px/inherit;;inherit;;inherit>Raster</font>|<font 12px/inherit;;inherit;;inherit>Downloaded 15.10.2020</font>| |
| |<font 12px/inherit;;inherit;;inherit>Basal Heat Flow</font>  |<font 12px/inherit;;inherit;;inherit>The here presented layer showes the basal heat flow for whole Europe.</font>|<font 12px/inherit;;inherit;;inherit>[mW/m²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Surface Heat Flow</font>  |<font 12px/inherit;;inherit;;inherit>The here presented layer showes the surface heat flow for whole Europe.</font>|<font 12px/inherit;;inherit;;inherit>[mW/m²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Theoretical Potential 2030</font>  |<font 12px/inherit;;inherit;;inherit>The theoretical potential for 2030 is the maximum possible (theoretical) technical potential.</font>|<font 12px/inherit;;inherit;;inherit>[MW/km²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Economic Potential 2030</font>  |<font 12px/inherit;;inherit;;inherit>The economic potential for 2030 is calculated from the realistic underground technical potential, accepting only those subvolumes where the levelized cost of energy is less than a given threshold.</font>|<font 12px/inherit;;inherit;;inherit>[MW/km²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Theoretical Potential 2050</font>  |<font 12px/inherit;;inherit;;inherit>The theoretical potential for 2050 is the maximum possible (theoretical) technical potential.</font>|<font 12px/inherit;;inherit;;inherit>[MW/km²]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Economic Potential 2050</font>  |<font 12px/inherit;;inherit;;inherit>The economic potential for 2050 is calculated from the realistic underground technical potential, accepting only those subvolumes where the levelized cost of energy is less than a given threshold.</font>|<font 12px/inherit;;inherit;;inherit>[MW/km²]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Biomass → Hotmaps Project **</font>|<font 12px/inherit;;inherit;;inherit>Data concerning biomass developed within the EU project Hotmaps.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygon</font>| | |
| |<font 12px/inherit;;inherit;;inherit>Energy Potential from Agricultural Residues</font>  |<font 12px/inherit;;inherit;;inherit>Considered agricultural residues are crop, cereals, maize, oilseed rape and sunflower, sugar beet, rice, olives, citrus and grape.</font>  |<font 12px/inherit;;inherit;;inherit>[PJ]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Energy Potential from Forest Residues</font>  |<font 12px/inherit;;inherit;;inherit>Energy potential have been spatialized by using the CORINE Land Cover. Forest biomass includes two categories of residues: Fuelwood and roundwood.</font>|<font 12px/inherit;;inherit;;inherit>[PJ]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Energy Potential from Livestock Effluents</font>  |<font 12px/inherit;;inherit;;inherit>Considered livestock effluents for the energy generation are solid and liquid manure from breeding of cattle, pigs and poultry.</font>  |<font 12px/inherit;;inherit;;inherit>[PJ]</font>| | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Biomass → Global Forest Watch Project **</font>|<font 12px/inherit;;inherit;;inherit>Presents data concerning biomass potential from the open data portal Global Forest.</font>  ||<font 12px/inherit;;inherit;;inherit>[Mg ha-1]</font>  | | | |
| |<font 12px/inherit;;inherit;;inherit>Aboveground Biomass</font>  | | |<font 12px/inherit;;inherit;;inherit>Raster, 30x30m</font>  | | |
| |<font 12px/inherit;;inherit;;inherit>Aboveground Biomass per LAU</font>  | | |<font 12px/inherit;;inherit;;inherit>Polygon (LAU)</font>  | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Biomass → AlpES Project **</font>|<font 12px/inherit;;inherit;;inherit>The calculated indicator represents the mapping of biomass production supply and was created within the AlpES project. For more information see [[http://www.wikialps.eu/doku.php?id=wiki:grassland_biomass</font|Biomass production from grassland]] </font> || | | | |
| |<font 12px/inherit;;inherit;;inherit>Grassland Biomass Ecosystem Service</font>  | |<font 12px/inherit;;inherit;;inherit>[t DM ha-1 y-1]</font>  |<font 12px/inherit;;inherit;;inherit>Polygon (LAU)</font>  | | |
|<font 12px/inherit;;inherit;;inherit>**Renewable Energy Potential → Hydro **</font>|<font 12px/inherit;;inherit;;inherit>The dataset contains all potential hydropower plant locations for micro to large hydropower plants based on the GMTED2010 breakline dataset (elevation) and runoff data from the Global Runoff Data Centre.</font>  || | |<font 12px/inherit;;inherit;;inherit>Coverage time 2010</font>| |
| |<font 12px/inherit;;inherit;;inherit>Hydropower Potential Locations</font>  | | |<font 12px/inherit;;inherit;;inherit>Point Feature</font>| | |
| |<font 12px/inherit;;inherit;;inherit>Total Hydropower Potential per LAU</font>  |<font 12px/inherit;;inherit;;inherit>The Total Hydropower Potential per LAU showes the sum values of all hydropower potential locations on municipality level.</font>| |<font 12px/inherit;;inherit;;inherit>Polygon (LAU)</font>| | |
|<font 12px/inherit;;inherit;;inherit>**Energy Infrastructure → Power Plants – Global Power Plant Database **</font>|<font 12px/inherit;;inherit;;inherit>Database covers approximately 30000 power plants around the world. Beside thermal plants also renewable plants are included.</font>  || | | | |
| |<font 12px/inherit;;inherit;;inherit>Power Plants, incl. Renewables</font>  | | | | | |
|<font 12px/inherit;;inherit;;inherit>**Energy Infrastructure **</font>| || | | | |
| |<font 12px/inherit;;inherit;;inherit>Charging Points</font>|<font 12px/inherit;;inherit;;inherit>Open Charge Map is a non-commercial, non-profit, electric vehicle data service hosted and supported by a community of businesses, charities, developers and interested parties around the world. The aim is to work with the community to develop and provide a high quality, public, free, open database of charging equipment locations globally</font>  | |<font 12px/inherit;;inherit;;inherit>Point Feature</font>| | |
|<font 12px/inherit;;inherit;;inherit>**Land Use and Land Cover **</font>|<font 12px/inherit;;inherit;;inherit>Land use and land cover mapping for all EEA39 countries (2018). 25 ha minimum mapping unit, 100m minimum mapping width, 100m positional accuracy, >85% thematic accuracy.</font>  || |<font 12px/inherit;;inherit;;inherit>Raster, 100x100m</font>| | |
| |<font 12px/inherit;;inherit;;inherit>CORINE Land Cover (CLC)</font>  |<font 12px/inherit;;inherit;;inherit>CORINE Land Cover (CLC) was specified to standardize data collection on land cover in Europe to support environmental policy development.</font>  | | |<font 12px/inherit;;inherit;;inherit>downloaded 08.08.2019</font>  | |
| |<font 12px/inherit;;inherit;;inherit>European Forest Areas</font>  |<font 12px/inherit;;inherit;;inherit>This dataset shows the European forest area for 2012 and 2015 covering EEA39 countries. 1 (forest), 0 (non-forest)</font>  | | |<font 12px/inherit;;inherit;;inherit>downloaded 11.08.2019</font>  | |
|<font 12px/inherit;;inherit;;inherit>**Political-Geographical Boundaries → Administrative Units **</font>|<font 12px/inherit;;inherit;;inherit>Euro Boundary Map provides a European geographic database for administrative and statistical regions. EBM offers the combination of detailed European administrative units and linkages to the corresponding LAU and NUTS codes.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygons</font>|<font 12px/inherit;;inherit;;inherit>Data delivery: Mai 2019</font>  | |
| |<font 12px/inherit;;inherit;;inherit>Admin Unit/Boundary Level 1</font>  |<font 12px/inherit;;inherit;;inherit>National borders/ states</font>  | | | | |
| |<font 12px/inherit;;inherit;;inherit>Admin Unit/Boundary Level 2</font>  |<font 12px/inherit;;inherit;;inherit>Federal states</font>  | | | | |
| |<font 12px/inherit;;inherit;;inherit>Admin Unit/Boundary Level 3</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Admin Unit/Boundary Level 4</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>LAU – Local Administrative Units</font>  |<font 12px/inherit;;inherit;;inherit>Municipality level</font>  | | | | |
|<font 12px/inherit;;inherit;;inherit>**Political-Geographical Boundaries → Statistical Units **</font>|<font 12px/inherit;;inherit;;inherit>The database includes relations between the European-wide unique identifiers of administrative units and their corresponding statistical codes and units (NUTS) maintained and published by Eurostat.</font>  || | | | |
| |<font 12px/inherit;;inherit;;inherit>NUTS 1 – Major socio-economic regions</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>NUTS 2 – Basic regions for the application of regional policies</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>NUTS 3 – Small regions for specific diagnoses</font>  | | | | | |
|<font 12px/inherit;;inherit;;inherit>**Political-Geographical Boundaries **</font>|<font 12px/inherit;;inherit;;inherit>The WebGIS offers different border layers concerning the Alpine Space.</font>  || |<font 12px/inherit;;inherit;;inherit>Polygon</font>| | |
| |<font 12px/inherit;;inherit;;inherit>Alpine Space Area</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Alpine Convention Area</font>  | | | | | |
|<font 12px/inherit;;inherit;;inherit>**Political-Geographical Boundaries → Protected Areas → World Database on Protected Areas (WDPA) **</font>|<font 12px/inherit;;inherit;;inherit>Protected Planet is a source of information on protected areas, updated monthly with submissions from governments, non-governmental organizations, landowners and communities.</font>  || | |<font 12px/inherit;;inherit;;inherit>Downloaded 12.08.2019</font>| |
| |<font 12px/inherit;;inherit;;inherit>WDPA Areas</font>  | | |<font 12px/inherit;;inherit;;inherit>Polygon</font>| | |
| |<font 12px/inherit;;inherit;;inherit>WDPA Points (Addition only for Slovenia)</font>  | | |<font 12px/inherit;;inherit;;inherit>Point Feature</font>| | |
|<font 12px/inherit;;inherit;;inherit>**Political-Geographical Boundaries → Protected Areas **</font>| || | | | |
| |<font 12px/inherit;;inherit;;inherit>Natura 2000</font>  |<font 12px/inherit;;inherit;;inherit>Natura 2000 is the key instrument to protect biodiversity. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats.</font>  | |<font 12px/inherit;;inherit;;inherit>Polygon</font>|<font 12px/inherit;;inherit;;inherit>Downloaded 08.08.2019</font>| |
| |<font 12px/inherit;;inherit;;inherit>Nationally Designated Areas (CDDA)</font>  |<font 12px/inherit;;inherit;;inherit>The dataset contains data on nationally designated areas and corresponding protected site for spatial features in EEA member and collaborating countries.</font>  | |<font 12px/inherit;;inherit;;inherit>Polygon</font>|<font 12px/inherit;;inherit;;inherit>Downloaded 08.08.2019</font>| |
|<font 12px/inherit;;inherit;;inherit>**Political-Geographical Boundaries → Protected Areas → Protected Areas – IGF curated **</font>| || |<font 12px/inherit;;inherit;;inherit>Polygon</font>| | |
| |<font 12px/inherit;;inherit;;inherit>Biosphere Reserves</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>National Parks</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>Natural Parks</font>  | | | | | |
| |<font 12px/inherit;;inherit;;inherit>World Heritage Sites</font>  | | | | | |
|<font 12px/inherit;;inherit;;inherit>**Digital Elevation Model & Hillshade **</font>|<font 12px/inherit;;inherit;;inherit>DEM and Hillshade are resampled (250m, 1000m) from EU-DEM, which is a 1:100 000 scale digital elevation model providing height data for 40 European countries and territories. It describes the distribution of terrain, not including vegetation and man-made structures.</font>  || | | | |
| |<font 12px/inherit;;inherit;;inherit>Digital Elevation Model (DEM)</font>  | |<font 12px/inherit;;inherit;;inherit>[m]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Hillshade</font>  | |<font 12px/inherit;;inherit;;inherit>[°]</font>| | | |
| |<font 12px/inherit;;inherit;;inherit>Combined DEM & Hillshade</font>  | | | | | |

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