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Estimating Fuel Moisture in Grasslands Using UAV-Mounted Infrared and Visible Light Sensors
2021
Sensors
Predicting wildfire behavior is a complex task that has historically relied on empirical models. Physics-based fire models could improve predictions and have broad applicability, but these models require more detailed inputs, including spatially explicit estimates of fuel characteristics. One of the most critical of these characteristics is fuel moisture. Obtaining moisture measurements with traditional destructive sampling techniques can be prohibitively time-consuming and extremely limited in
doi:10.3390/s21196350
pmid:34640670
fatcat:yoq3q2a7mvb5vhptl7z6fntnjq