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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
LIU Zhiwei 中南大学 地球科学与信息物理学院
ZHAO Rong 中南林业科技大学 土木工程学院
ZHU Jianjun 中南大学 地球科学与信息物理学院
FU Haiqiang 中南大学 地球科学与信息物理学院
ZHOU Cui 中南林业科技大学 理学院

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
School of Geosciences and Info-Physics, Central South University
School of Civil Engineering, Central South University of Forestry and Technology
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