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- W3198454644 abstract "The “Compagnie Sucrière Sénégalaise” (CSS) wanted to upscale the field-level crop simulation model AquaCrop (FAO's agro-meteorological model) for the automated monitoring and management of its ±13.000 ha of irrigated sugarcane. A recently developed changepoint detector was applied to Sentinel-1 time series to identify key phenological crop stages for assimilation in AquaCrop. Field-specific emergence dates, varying from 10 to 45 days after planting, were assimilated in AquaCrop. Simulated sugarcane biomass had an R2 of 0.7 and an RMSE of 6.4%. The improved management support system was also able to identify potential irrigation mismanagements." @default.
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- W3198454644 date "2021-07-11" @default.
- W3198454644 modified "2023-09-23" @default.
- W3198454644 title "Assimilation of Sentinel-1 Change Detection in the Aquacrop Model: Case of Sugarcane" @default.
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- W3198454644 doi "https://doi.org/10.1109/igarss47720.2021.9555163" @default.
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