Remote Sensing Monitoring of Forest and Grassland Carbon Sinks | Views : 0 下载量: 1520 CSCD: 0

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    • Mapping forest type and tree species fractions in China’s cold-temperate forests based on synthetically mixed data and random forest regression

    • “The latest research reveals the feasibility of using remote sensing technology for long-term inversion of forest coverage in cold temperate regions of China, providing new ideas for forest management in the north.”
    • Vol. 29, Issue 1, Pages: 118-133(2025)   

      Received：04 April 2023，

      Published：07 January 2025

    • DOI： 10.11834/jrs.20233103     

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  • Wang M Y，Zhao F，Pang Y，Meng R，Jia W and Yue C. 2025. Mapping forest type and tree species fractions in China’s cold-temperate forests based on synthetically mixed data and random forest regression. National Remote Sensing Bulletin， 29（1）：118-133 DOI： 10.11834/jrs.20233103.
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Wang Mengyu 西北农林科技大学资源环境学院,陕西杨凌;华中师范大学城市与环境科学学院
Meng Ran 华中农业大学资源与环境学院
Yue Chao 西北农林科技大学资源环境学院,陕西杨凌;中国科学院水利部水土保持研究所,陕西杨凌
CHEN Jin 北京师范大学 地理科学学部
LIU Tianyu 北京师范大学 地理科学学部
SHI Qian 中山大学 地理科学与规划学院
DONG Jinwei 中国科学院地理科学与资源研究所
CHEN Yang 中国科学院空天信息创新研究院

相关机构

College of Natural Resources and Environment, Northwest A&F University, Yangling
College of Resourves & Environment, HuaZhong Agricultural University
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling
Faculty of Geography Science, Beijing Normal University
School of Geography and Planning, Sun Yat-sen University
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