Filters: Tags: Remote sensing, wildfire occurrence, wildfire risk (X) > partyWithName: Stephen Boyte (X) > partyWithName: Zhuoting Wu (X)
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Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of wildfire occurrence (30-m spatial resolution) in sagebrush-dominated landscapes of the western United States.
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