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An automatic monitoring method for disturbance caused by deforestation and forest fires

Timely and accurate detection and assessment of forest disturbances are crucial for early warning and risk prevention of forest disasters. This study presents an automated forest disturbance monitoring algorithm with three main steps: (1) extracting features that capture the remote sensing response...

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Principais autores: Xiufang Zhu, Junying Song, Mingxiu Tang, Rui Guo
Format: Artigo
Jezik:Inglês
Izdano: Taylor & Francis Group 2026-01-01
Serija:International Journal of Digital Earth
Teme:
Online dostop:https://www.tandfonline.com/doi/10.1080/17538947.2025.2605787
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