Mulit-Criteria Power Line Routeing GIS_dataset 2
- 1. TU Dresden
Description
The dataset presented here contains GIS (Geographic Information System) data relevant for infrastructure projects, specifically development of DC grid.
The data has been sourced from a range of sources and proceeded to be compatible for combination and analysis. For each data set included, the conversion of the original data into a 500m grid in EPSG 31468 projection with the raster calculator implemented in QGIS has been carried out.
- Elevation
The elevation data originate from the EEA [1]. The resolution of the original data corresponds to about 25m and is available in raster format. The bilinear resampling method was used to determine the values of the new grid fields.
- Landscape quality assessment
Uniform assessment per grid field between 0 (low) and 10 (high) derived from the original data set of [2] with a total of information on 44 primary land use types based on the assessment criteria of [3]. The data set used here is the CLC2012 which refers to the reference year 2012.
- Population density
Source of population density is a raster grid provided by the [4] which expresses the number of people per pixel with a resolution of 250m x 250m. The base year for population data is 2015.
- Protected areas
Reduction of data from [5] to continental Europe and change of projection.
- Slope
Derived from elevation data based on [1]. The slope is calculated by the tilt angle for each raster cell in degrees based on the first-order derivation.
Files
Elevation.tif
Files
(1.5 GB)
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md5:92d030d907b10e9911bd1777830d1bc2
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md5:39b1e2b3e2a8061d57c6b7399d244e1b
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md5:96dcae4c2a427df42f4212ab2af01358
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Additional details
References
- [1] European Environment Agency. Digital Elevation Model over Europe (EU-DEM). Data retrieved from https://www.eea.europa.eu/data-and-maps/data/copernicus-land-monitoring-service-eu-dem#tab-gis-data
- [2] European Environment Agency. Corine Land Cover 2012. Data retrieved from https://land.copernicus.eu/pan-european/corine-land-cover
- [3] Bräm, R. Methode einer flächendeckenden Landschaftsbildbewertung der Schweiz basierend auf Sichtbarkeits- und Vektoranalysen im GIS. Technical report, Paris Lodron-Universität Salzburg, 2013
- [4] European Commission Joint Research Centre; Columbia University Center for International Earth Science Information476Network. GHS population grid, derived from GPW4, multitemporal (1975, 1990, 2000, 2015), 2018. The data retrieved from http://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_pop_gpw4_globe_r2015a
- [5] IUCN and UNEP-WCMC. The World Database on Protected Areas (WDPA), 2018. Data retrieved from https://www.protectedplanet.net/