From: Observation-based estimates of land availability for wind power: a case study for Czechia
α | Name | Description | Area | Source | Format |
---|---|---|---|---|---|
D1 | Open Power System Data | Open source data set featuring information on location, capacity, height, year of installation, etc. of WPP in DK in 2017 | DK | Open Power System Data [28] | Vector (point) |
D2 | Austrian wind power plants | Data set featuring information on location, capacity, year of installation, height, etc. of WPP in AT in 2015 | AT | Austrian Wind Energy Association [29] | Vector (point) |
D3 | Wind speed | Mean wind speed in 100 m and 200 m height | Global | International Renewable Energy Agency [30] | Raster (1 km) |
D4 | Height above mean sea level | Digital elevation model in 2011 | EU | European Environment Agency [31] | Raster (25 m) |
D5 | Land use | Land use in 2010 according to the LUISA Modeling Platform | EU | Lavalle [32] | Raster (1 km) |
D6 | Population | Population distribution in 2010 according to the LUISA Modeling Platform | EU | Lavalle and Jacobs Crisioni [33] | Raster (1 km) |
D7 | National parks | National parks, important wildlife and conservation areas in 2018 | AT, CZ, DK | OpenStreetMap [34] | Vector (polygon) |
D8 | Natura 2000 | Natura 2000 conservation areas in 2017 | EU | European Environment Agency [35] | Vector (polygon) |
D9 | Human Footprint Index | Cumulative impact of direct pressures on nature from human activities in 2009 | Global | Venter et al. [36] | Raster (1 km) |