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 Sentinel satellites, a growing source of satellite remote sensing data is publicly available at no charge. Here, we used joint Sentinel-1 radar and Sentinel-2 optical imagery to create a crop map for Belgium. To ensure homogenous radar and optical inputs across the country, Sentinel-1 12-day backsc... Mehr ...

Verfasser: Kristof Van Tricht
Anne Gobin
Sven Gilliams
Isabelle Piccard
Dokumenttyp: Text
Erscheinungsdatum: 2018
Verlag/Hrsg.: Multidisciplinary Digital Publishing Institute
Schlagwörter: crop classification / SAR / optical / time series / Sentinel-1 / Sentinel-2 / random forest / machine learning / classification confidence
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26982445
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3390/rs10101642