Estimating The Number Of Harvests Per Rice Paddy Field

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

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摘要
The European Space Agency's Sentinel 1 satellite acquires global synthetic aperture radar (SAR) data, making it particularly well-suited for analyzing tropical regions that may be covered in clouds and therefore concealed from optical data. Here, we focus our attention on rice, a predominant crop in the tropics, and leverage Sentinel 1 data to identify field boundaries, classify fields as rice or not rice, and estimate the number of times each rice field is harvested during a year. Using the Descartes Labs Platform to conduct this analysis allows us to scale our models to run across Asia, providing a region-wide analysis of rice extent and management.
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关键词
synthetic aperture radar, rice, phenology, land cover/land use mapping
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