Soil organic carbon mapping utilizing convolutional neural networks and Earth observation data, a case study in Bavaria state Germany

The Copernicus Sentinel-2 multispectral imagery data may be aggregated to extract large-scale, bare soil, reflectance composites, which enable soil mapping applications. In this paper, this approach was tested in the German federal state of Bavaria, to provide estimations for soil organic carbon (SO...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Nikolaos Tziolas, Nikolaos Tsakiridis, Uta Heiden, Bas van Wesemael
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2024-04-01
Σειρά:	Geoderma
Θέματα:	Deep learning Common agricultural policy Explainable artificial intelligence Digital soil mapping
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S001670612400096X
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