Preprints
https://doi.org/10.5194/essd-2021-60
https://doi.org/10.5194/essd-2021-60

  01 Apr 2021

01 Apr 2021

Review status: this preprint is currently under review for the journal ESSD.

A national extent map of cropland and grassland for Switzerland based on Sentinel-2 data

Robert Pazúr, Nica Huber, Dominique Weber, Christian Ginzler, and Bronwyn Price Robert Pazúr et al.
  • Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland

Abstract. Agricultural landscapes support multiple functions and are of great importance for biodiversity. Heterogeneous agricultural mosaics of cropland and grassland commonly result from variable land use practices and ecosystem service demands. Switzerland’s agricultural land use is considerably spatially heterogeneous due to strong variability in conditions, especially topography and climate, thus presenting challenges to automated agricultural mapping. Nation-wide knowledge of the location of cropland and grassland is necessary for effective conservation and land use planning. We mapped the distribution of cropland and grassland across Switzerland. We used several indices largely derived from Sentinel-2 satellite imagery captured over multiple growing seasons, and parcel-based training data derived from landholder reporting. The mapping was conducted within Google Earth Engine using a random forest classifier. The resulting map has high accuracy in lowlands as well as in mountainous areas. The map will act as a base agricultural land cover dataset for researchers and  practitioners working in agricultural areas of Switzerland and interested in land cover and landscape structure. The map as well as the training data and calculation algorithms (using Google Earth Engine) are freely available for download on the Envidat platform (doi: 10.16904/envidat.205). 

Robert Pazúr et al.

Status: open (until 24 Aug 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-60', Anonymous Referee #1, 14 Jun 2021 reply

Robert Pazúr et al.

Data sets

Cropland and grassland map of Switzerland based on Sentinel-2 data Pazúr, R., Huber, N., Weber, D., Ginzler, C., and Price, B. https://doi.org/10.16904/envidat.205

Robert Pazúr et al.

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Short summary
We mapped the distribution of cropland and grassland across Switzerland where the agricultural land is considerably spatially heterogeneous due to strong variability in topography and climate, thus presenting challenges to mapping. The resulting map has high accuracy in lowlands as well as in mountainous areas. Thus, we believe that the presented mapping approach and resulting map will provide a solid ground for further research in agricultural land cover and landscape structure.