Crop Mapping from Sentinel-1 Polarimetric Time-Series with a Deep Neural Network
Crop Mapping from Sentinel-1 Polarimetric Time-Series with a Deep Neural Network
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Timely and accurate agricultural information is essential for food security assessment and agricultural management. Synthetic aperture radar (SAR) systems are increasingly available in crop mapping, as they provide all-weather imagery. In particular, the Sentinel-1 sensor provides dense time-series data, thus offering a unique opportunity for crop...
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Full title
Crop Mapping from Sentinel-1 Polarimetric Time-Series with a Deep Neural Network
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TN_cdi_doaj_primary_oai_doaj_org_article_9a9ef063f96546038d35435d9eee093b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9a9ef063f96546038d35435d9eee093b
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs12152493
