Forestry and Agriculture | Views:1162Downloads:1912CSCD:0
Export
Collection
Album
Identification and analysis of forest loss drivers in Africa based on multisource time-series remote sensing products
- “Nearly 86.73% of forest damage in Africa is caused by human factors, and this proportion continues to rise. The research team has constructed a forest damage driving factor classification framework based on decision tree rules, providing solutions for forest conservation policy formulation.”
- Vol. 29, Issue 9, Pages: 2714-2727(2025)
DOI:10.11834/jrs.20254590
Quote
Translate The Full Text
Scan QR Code
AI Introduction
Full Text(HTML)
Figs( 9 ) Tabs( 6 )
References
Publication Info
Metrics
Alert me when the article has been cited
Submit
Related Author
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
CUI Ying 北京师范大学 地理科学学部/遥感与数字地球全国重点实验室
CHEN Yunhao 北京师范大学 地理科学学部/遥感与数字地球全国重点实验室
GENG Hao 北京师范大学 地理科学学部/遥感与数字地球全国重点实验室
LI Kangning 中国矿业大学(北京) 地球科学与测绘工程学院
LI Xiaohui 北京市地质灾害防治研究所
CHEN Rui 西南交通大学 地球科学与工程学院
Related Institution
State Key Laboratory of Remote Sensing and Digital Earth/Faculty of Geographical Science, Beijing Normal University
College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing
Beijing Institute of Geological Hazard Prevention
Faculty of Geosciences and Engineering, Southwest Jiaotong University
Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University


