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Examining the Transferability of Remote-Sensing-Based Models of Live Fuel Moisture Content for Predicting Wildfire Characteristics

Live fuel moisture content (LFMC) is a critical variable in improving fire risk estimations, which varies widely among different vegetation types and ecosystems. However, many regions do not have an operational LFMC mapping system, as such tools are difficult to develop. This raises the question of...

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-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Edna Guk, Avi Bar-Massada, Marta Yebra, Gianluca Scortechini, Noam Levin
Формат: Artigo
Хэл сонгох:Inglês
Хэвлэсэн: IEEE 2024-01-01
Цуврал:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Нөхцлүүд:
Онлайн хандалт:https://ieeexplore.ieee.org/document/10638113/
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