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    • Identification and analysis of forest loss drivers in Africa based on multisource time-series remote sensing products

    • New progress has been made in the study of forest destruction in Africa. Experts have constructed a decision tree rule classification framework, revealing that human factors are the main driving force and providing scientific basis for forest conservation.
    • Vol. 29, Issue 9, Pages: 2714-2727(2025)   

      Received:30 December 2024

      Published:07 September 2025

    • DOI: 10.11834/jrs.20254590     

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  • Liu W D,Zhang X and Liu L Y. 2025. Identification and analysis of forest loss drivers in Africa based on multisource time-series remote sensing products. National Remote Sensing Bulletin, 29(9):2714-2727 DOI: 10.11834/jrs.20254590.
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相关作者

YU Qinping 上海师范大学 环境与地理科学学院
LIN Wenpeng 上海师范大学 环境与地理科学学院;上海长三角城市湿地生态系统国家野外科学观测研究站
SHI Yiwen 上海师范大学 环境与地理科学学院
DONG Wenqian 西安电子科技大学 空天地一体化综合业务网全国重点实验室
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QU Jiahui 西安电子科技大学 空天地一体化综合业务网全国重点实验室
HOU Shaoxiong 西安电子科技大学 空天地一体化综合业务网全国重点实验室
LI Yunsong 西安电子科技大学 空天地一体化综合业务网全国重点实验室

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School of Environmental and Geographical Sciences, Shanghai Normal University
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State Key Laboratory of Integrated Services Networks, Xidian University
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