Wet and Dry Snow Detection Using Sentinel-1 SAR Data for Mountainous Areas with a Machine Learning Technique

Traditional studies on mapping wet snow cover extent (SCE) often feature limitations, especially in vegetated and mountainous areas. The aim of this study is to propose a new total and wet SCE mapping strategy based on freely accessible spaceborne synthetic aperture radar (SAR) data. The approach is...

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Principais autores:	Ya-Lun S. Tsai, Andreas Dietz, Natascha Oppelt, Claudia Kuenzer
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2019-04-01
coleção:	Remote Sensing
Assuntos:	synthetic aperture radar InSAR PolSAR backscattering random forest snow cover area land use land cover Sentinel-2 Landsat
Acesso em linha:	https://www.mdpi.com/2072-4292/11/8/895
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