First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
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Abstract
The study presents the preliminary results of two classification exercises assessing the capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for mapping crop types and tree species. In the first case study, an S2 image was used to map six summer crop species in Lower Austria as well as winter crops/bare soil. Crop type maps are needed to account for crop-specific water use and for agricultural statistics. Crop type information is also useful to parametrize crop growth models for yield estimation, as well as for the retrieval of vegetation biophysical variables using radiative transfer models. The second case study aimed to map seven different deciduous and coniferous tree species in Germany.…
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3Topics & keywords
Topics
Keywords
- Remote sensing
- Ground truth
- Environmental science
- Random forest
- Vegetation (pathology)
- Crop
- Computer science
- Geography
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