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Spatial loess distribution in the eastern Carpathian Basin: Hungary & Romania

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The provided geodata contain the digitized areas covered by loess and loess-like sediments in Hungary (after Balogh et al. 1956) and the respective coverage in the border region of northwest Romania which has been derived from geoscientific maps and data: soil type and texture after Florea et al. (1971), land cover data after CLC 2006 published by EEA (2012) and geomorphometric data based on the DEM SRTM 1 Arc-Second Global provided by USGS (2015)). Therefrom, digitized and reclassified soil types after the Romanian soil map, and two raster datasets of derived morphometric indices are published. Additionally, a merged shapefile of the resulting loess and loess-like sediments, designed for a scale of about 1:500.000, is published.

LD_HU_RO:
Merged shapefiles LD_HU and LD_RO. The sediments were reclassified collectively according to Koch & Neumeister (2005). For the denotation of the content see Tab. 2.
LD_RO:
Areas covered by loess and loess-like sediments the border region of northwest Romania which have been derived from geoscientific maps and data: soil type and texture after Florea et al. (1971), land cover data after CLC 2006 published by EEA (2012) and geomorphometric data based on the DEM SRTM 1 Arc-Second Global provided by USGS (2015)). The sediments were reclassified collectively according to Koch & Neumeister (2005). For the denotation of the content see Tab. 2.
LD_HU:
Digitized areas covered by loess and loess-like sediments in Hungary after the geological map of Hungary 1:300.000 (Balogh et al. 1956). The sediments were reclassified collectively according to Koch & Neumeister (2005). For the denotation of the content see Tab. 2.

Please cite this data in reference to Lindner, H.,Lehmkuhl, F., Zeeden, C. (2017): Spatial loess distribution in the eastern Carpathian Basin: a novel approach based on geoscientific maps and data. Journal of Maps, Vol. 2(13), p: 173-181, DOI: 10.1080/17445647.2017.1279083



Type: Vector Data

Category: geoscientificInformation

Keywords: Loess

Publication date: 2017-04-20

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