Identification of Soil Texture Classes Under Vegetation Cover Based on Sentinel-2 Data With SVM and SHAP Techniques
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DOI: 10.1109/jstars.2022.3164140
Abstract: Understanding the spatial variability of soil texture classes is essential for agricultural management and environment sustainability. Sentinel-2 data offer valuable vegetation information as proxies for soil properties inference. However, the applications of them in soil… read more here.
Keywords: texture classes; vegetation; soil texture; sentinel data ... See more keywords