Sentinel'S Classifier Fusion System For Seasonal Crop Mapping

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)(2019)

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摘要
Reliable, accurate and up-to-date crop type maps constitute key environmental data. Recent Copernicus satellites Sentinel-1 (S1) and Sentinel-2 (S2) with large swath widths and high temporal and spatial resolutions lead crop mapping into new era. In the framework of the SensAgri H2020 project, this work presents a new seasonal crop mapping prototype service by exploiting the synergy of S1 and S2. The experimental results are carried out on three different European test sites.
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关键词
Sentinel satellite image time series, Crop mapping, Random Forest, Data fusion
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