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GIScience & Remote Sensing Volume 61, 2024 - Issue 1
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Research Article

Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020

Xiaobang Liua Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
,
Shunlin Liangb Jockey Club Laboratory of Quantitative Remote Sensing, Department of Geography, University of Hong Kong, Hong Kong, ChinaCorrespondence[email protected]
View further author information
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Han Mab Jockey Club Laboratory of Quantitative Remote Sensing, Department of Geography, University of Hong Kong, Hong Kong, ChinaView further author information
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Bing Lic Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, ChinaView further author information
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Yufang Zhanga Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
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Yingying Lia Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
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Tao Hea Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
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Guodong Zhanga Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
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Jianglei Xua Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
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Changhao Xionga Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
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Rui Maa Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
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Wenfu Wud School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
&
Jiahua Tenge Satellite Environment Protetion Key Laboratory of Satellite Remote Sensing, Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing, ChinaView further author information
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Article: 2300214 | Received 14 Nov 2022, Accepted 22 Dec 2023, Published online: 15 Jan 2024

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