Precise Quantification of Land Cover before and after Planned Disturbance Events with UAS-Derived Imagery

This paper introduces a detailed procedure to utilize the high temporal and spatial resolution capabilities of an unmanned aerial system (UAS) to document vegetation at regular intervals both before and after a planned disturbance, a key component in <i>natural disturbance-based management</i> (NDBM...

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書誌詳細

主要な著者:	Zachary Miller, Joseph Hupy, Sarah Hubbard, Guofan Shao
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-02-01
シリーズ:	Drones
主題:	UAS GEOBIA NDBM burn management disturbance ecology wildfire
オンライン･アクセス:	https://www.mdpi.com/2504-446X/6/2/52
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