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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Hlavní autoři:	Edna Guk, Avi Bar-Massada, Marta Yebra, Gianluca Scortechini, Noam Levin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Live fuel moisture content (LFMC) Mediterranean basin moderate resolution imaging spectroradiometer (MODIS) remote sensing vegetation wildfires
On-line přístup:	https://ieeexplore.ieee.org/document/10638113/
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