Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium

A timely inventory of agricultural areas and crop types is an essential requirement for ensuring global food security and allowing early crop monitoring practices. Satellite remote sensing has proven to be an increasingly more reliable tool to identify crop types. With the Copernicus program and its...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Kristof Van Tricht, Anne Gobin, Sven Gilliams, Isabelle Piccard
Format:	Article
Language:	English
Published:	MDPI AG 2018-10-01
Subjects:	crop classification SAR optical time series Sentinel-1 Sentinel-2 random forest machine learning classification confidence
Online Access:	http://www.mdpi.com/2072-4292/10/10/1642