Improving forest stock volume estimation using three-dimensional canopy structure characteristics based on ICESat-2 ATLAS data in Aargau， Switzerland

ForestResourcesDynamicMonitoringandForestVolumeEstimationUsingLiDARRemoteSensingTechnologies | Views:399Downloads:651CSCD:0

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Improving forest stock volume estimation using three-dimensional canopy structure characteristics based on ICESat-2 ATLAS data in Aargau， Switzerland
- role：First author第一作者
- Affiliation：
  Institute of Forest Resource Information Technique, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
- Email：ak_4798@126.com
- Introduction：孔丹，研究方向为星载、机载激光雷达信号处理及林业应用。E-mail： ak_4798@126.com
KONG Dan
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  Institute of Forest Resource Information Technique, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
- Email：pangy@ifrit.ac.cn
- Introduction：庞勇，研究方向为林业遥感机理模型、激光雷达信号处理及林业应用、森林碳汇计量、森林变化监测。E-mail： pangy@ifrit.ac.cn
PANG Yong
12 * ,
- Affiliation：
  Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf 8903, Switzerland
WANG Zuyuan
3 * ,
- Affiliation：
  Institute of Forest Resource Information Technique, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
LI Zengyuan
12 *
Vol. 29, Issue 10, Pages: 2976-2988(2025)
DOI：10.11834/jrs.20254317
Accepted：

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