Automated attribution of forest disturbance types from remote sensing data: A synthesis

已完结 10 由 daocheng 发布于 2026/8/4 15:38:45

DOI:10.1016/j.rse.2022.113416
作者：Amanda T. Stahl ,&nbsp;Robert Andrus ,&nbsp;Jeffrey A. Hicke ,&nbsp;Andrew T. Hudak ,&nbsp;Benjamin C. Bright ,&nbsp;Arjan J.H. Meddens
文献类型：期刊论文
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Elsevier

Abstract：Remote sensing is widely used to detect forest disturbances (e.g., wildfires, harvest, or outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture with fi

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