Forestry and Agriculture | Views : 0 下载量: 252 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • 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     

    移动端阅览

  • 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.
  •  
  •  
Alert me when the article has been cited
提交

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
SHI Yiwen 上海师范大学 环境与地理科学学院
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
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
WANG Hao 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
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

相关机构

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
Meteorological Institute of Shaanxi Province
Key Open Laboratory of Eco-Environment Meteorology for the Qinling Mountains and Loess Plateau, China Meteorological Administration
0