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    • Identification and analysis of the forest loss drivers in Africa based on multi-source 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.
    • Pages: 1-14(2025)   

      Published Online:23 April 2025

    • DOI: 10.11834/jrs.20254590     

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  • Liu Wendi,Zhang Xiao,Liu Liangyun. XXXX. Identification and analysis of the forest loss drivers in Africa based on multi-source time-series remote sensing products. National Remote Sensing Bulletin, XX(XX):1-14 DOI: 10.11834/jrs.20254590.
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相关作者

QIN Yu 上海大学 通信与信息工程学院
LU Chenxin 上海航天电子技术研究所
LIU Yanli 上海航天电子技术研究所
WU Qingxue 上海航天电子技术研究所
ZHANG Qi 上海大学 通信与信息工程学院
ZHANG Xiaobei 上海大学 通信与信息工程学院
ZHANG Jingrui 自然资源部 第一海洋研究所;中国石油大学(华东) 海洋与空间信息学院
REN Guangbo 自然资源部 第一海洋研究所

相关机构

School of Communication and Information Engineering, Shanghai University
Shanghai Aerospace Electronic Technology Institute
First Institute of Oceanography, Ministry of Natural Resources
College of Oceanography and Space Informatics, China University of Petroleum
College of Geodesy and Geomatics, Shandong University of Science and Technology
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