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An interpretable remote sensing–machine learning framework for wildfire soil burn severity prediction in the northwestern United States
landsat, lightgbm, machine learning, pre-fire environmental conditions, proactive fire prevention, remote sensing, soil burn severity prediction, u.s. pacific northwest
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