Remote Sensing Monitoring of Forest and Grassland Carbon Sinks | Views:4551Downloads:7562CSCD:7
  • Export

  • Collection

  • Album

    • A novel framework for forest vegetation carbon stock estimation based on remote sensing

    • “In the field of forest carbon measurement, experts have constructed a new system for forest vegetation carbon measurement based on remote sensing, providing solutions for achieving the "dual carbon" strategic goals.”
      • role:First author第一作者
      • Affiliation:

        State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China

      • Email:ningningzhu@whu.edu.cn
      • Introduction:朱宁宁,研究方向为摄影测量与遥感、森林碳计量。E-mail: ningningzhu@whu.edu.cn

      ZHU Ningning

      ,
      • role:Corresponding author通信作者
      • Affiliation:

        State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China

      • Email:bshyang@whu.edu.cn
      • Introduction:杨必胜,研究方向为点云智能处理,未知空间无人探测。E-mail: bshyang@whu.edu.cn

      YANG Bisheng

      * ,
      • Affiliation:

        State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China

      DONG Zhen

    • Vol. 29, Issue 1, Pages: 134-146(2025)  
    • DOI:10.11834/jrs.20244210    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  
  • AI Introduction

  • Full Text(HTML)

  • Figs( 16 ) Tabs( 4 )

  • References

  • Publication Info

  • Metrics

Alert me when the article has been cited
Submit

Related Author

Dong Zhen 武汉大学测绘遥感信息工程国家重点实验室室
Zhu Ningning 武汉大学测绘遥感信息工程国家重点实验室室
Yang Bisheng 武汉大学测绘遥感信息工程国家重点实验室室
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

Related Institution

State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University
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