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...

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Autores principales:	Nikolaos Tziolas, Nikolaos Tsakiridis, Uta Heiden, Bas van Wesemael
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2024-04-01
Colección:	Geoderma
Materias:	Deep learning Common agricultural policy Explainable artificial intelligence Digital soil mapping
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S001670612400096X
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