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GIScience & Remote Sensing Volume 59, 2022 - Issue 1
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Research Article

A forest type-specific threshold method for improving forest disturbance and agent attribution mapping

Yating Lia Institute of International Rivers and Eco-Security, Yunnan University, Kunming, Yunnan, China;b Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, Yunnan, ChinaView further author information
,
Xiao Xua Institute of International Rivers and Eco-Security, Yunnan University, Kunming, Yunnan, China;b Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, Yunnan, ChinaView further author information
,
Zhenzi Wua Institute of International Rivers and Eco-Security, Yunnan University, Kunming, Yunnan, China;b Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, Yunnan, ChinaView further author information
,
Hui Fana Institute of International Rivers and Eco-Security, Yunnan University, Kunming, Yunnan, China;b Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, Yunnan, ChinaCorrespondence[email protected]
View further author information
,
Xiaojia Tonga Institute of International Rivers and Eco-Security, Yunnan University, Kunming, Yunnan, China;b Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, Yunnan, ChinaView further author information
&
Jiang Liua Institute of International Rivers and Eco-Security, Yunnan University, Kunming, Yunnan, China;b Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, Yunnan, ChinaView further author information
Pages 1624-1642 | Received 19 Jun 2022, Accepted 09 Sep 2022, Published online: 27 Sep 2022

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Read on this site (2)

Zhenzi Wu, Yating Li, Xiao Xu & Hui Fan. (2023) Topographic effects amplify forest disturbances detected by yearly wide-time-window Landsat time series. GIScience & Remote Sensing 60:1.
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Yuting Zhao, Jungho Im, Zhen Zhen & Yinghui Zhao. (2023) Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data. GIScience & Remote Sensing 60:1.
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Articles from other publishers (1)

Fucheng Lü, Yunkun Song & Xiaodong Yan. (2023) Evaluating Carbon Sink Potential of Forest Ecosystems under Different Climate Change Scenarios in Yunnan, Southwest China. Remote Sensing 15:5, pages 1442.
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