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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

LIU Wendi 中国科学院空天信息创新研究院 数字地球重点实验室;可持续发展大数据国际研究中心;中国科学院大学
LIU Liangyun 中国科学院空天信息创新研究院 数字地球重点实验室;可持续发展大数据国际研究中心;中国科学院大学
YANG Yunjie 西南交通大学 地球科学与工程学院
ZHANG Rui 西南交通大学 地球科学与工程学院
JIANG Han 西南交通大学 地球科学与工程学院
ZHANG Bo 西南交通大学 地球科学与工程学院
SONG Yunfan 中国气象局成都高原气象研究所
LIU Guoxiang 西南交通大学 地球科学与工程学院

相关机构

Faculty of Geosciences and Engineering, Southwest Jiaotong University
Chengdu Institute of Plateau Meteorology, China Meteorological Administration
School of Environmental and Geographical Sciences, Shanghai Normal University
Yangtze River Delta Urban Wetland Ecosystem National Field Scientific Observation and Research Station
State Key Laboratory of Integrated Services Networks, Xidian University
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