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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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Detalles Bibliográficos
Principais autores: Xiufang Zhu, Junying Song, Mingxiu Tang, Rui Guo
Formato: Artigo
Idioma:Inglês
Publicado: Taylor & Francis Group 2026-01-01
Series:International Journal of Digital Earth
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Acceso en liña:https://www.tandfonline.com/doi/10.1080/17538947.2025.2605787
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