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 ...
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Dokumenttyp: | Text |
Erscheinungsdatum: | 2018 |
Verlag/Hrsg.: |
Multidisciplinary Digital Publishing Institute
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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 |