SensRes dataset for downscaling soil maps
Authors/Creators
-
Carvalho Gomes, Lucas
(Contact person)
- Møller, Anders (Project member)1
-
Koganti, Triven
(Project member)
-
Higgins, Suzanne
(Work package leader)
- Žydelis, Renaldas (Work package leader)
- Volungevičius, Jonas (Project member)
- Kavaliauskas, Ardas (Project member)
- van Egmond, Fenny (Work package leader)
- Kramer, Henk (Project member)
- Teuling, Kees (Project member)
- et al. Show all 12 authors
-
Carvalho Gomes, Lucas
(Contact person)
- Møller, Anders (Project member)1
-
Koganti, Triven
(Project member)
-
Higgins, Suzanne
(Work package leader)
- Žydelis, Renaldas (Work package leader)
- Volungevičius, Jonas (Project member)
- Kavaliauskas, Ardas (Project member)
- van Egmond, Fenny (Work package leader)
- Kramer, Henk (Project member)
- Teuling, Kees (Project member)
- Çinkaya, İsmail (Work package leader)
- Greve, Mogens H (Project leader)
-
1.
Aarhus University
Description
This dataset contains soil information and sensor data from agricultural fields in Denmark, Lithuania, Northern Ireland, the Netherlands, and Turkey to downscale coarse-resolution maps to high resolution in the SensRes project (EJP SOIL).
It includes 1455 soil samples with data on soil organic carbon and soil texture fractions (clay, silt, and sand). For each sampling site, the dataset also contains rasters of Sentinel-2 bare soil images, aerial images (RGB), and maps from Electromagnetic Induction and Gamma sensors. The soil data is provided in .txt file format, while the sensor data is available in .tif format. There are also shapefiles from each field in .shp format.
The SensRes project developed a framework for downscaling soil maps, which was published as an R package (https://github.com/anbm-dk/soilscaler/tree/main), and this dataset contains the required local inputs to apply the downscaling process. Part of the soil information present in this dataset has also been used in the STEROPES EJP SOIL project.
Files
SensRes_Denmark.zip
Files
(25.6 MB)
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