Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data

Earth observation (EO) has an immense potential as being an enabling tool for mapping spatial characteristics of the topsoil layer. Recently, deep learning based algorithms and cloud computing infrastructure have become available with a great potential to revolutionize the processing of EO data. Thi...

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Principais autores:	Nikolaos Tziolas, Nikolaos Tsakiridis, Eyal Ben-Dor, John Theocharis, George Zalidis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-04-01
coleção:	Remote Sensing
Assuntos:	deep learning Copernicus data soil texture mapping earth observation spectral signatures SAR data
Acesso em linha:	https://www.mdpi.com/2072-4292/12/9/1389
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