Improved Modeling of Gross Primary Production and Transpiration of Sugarcane Plantations with Time-Series Landsat and Sentinel-2 Images

Improved Modeling of Gross Primary Production and Transpiration of Sugarcane Plantations with Time-Series Landsat and Sentinel-2 Images

Sugarcane croplands account for ~70% of global sugar production and ~60% of global ethanol production. Monitoring and predicting gross primary production (GPP) and transpiration (T) in these fields is crucial to improve crop yield estimation and management. While moderate-spatial-resolution (MSR, hu...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Jorge Celis, Xiangming Xiao, Paul M. White, Osvaldo M. R. Cabral, Helber C. Freitas
Формат:	Өгүүллэг
Хэл сонгох:	English
Хэвлэсэн:	MDPI AG 2023-12-01
Цуврал:	Remote Sensing
Нөхцлүүд:	crop photosynthesis remote sensing model precision farming
Онлайн хандалт:	https://www.mdpi.com/2072-4292/16/1/46

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