Data Processing and Accuracy Verification for Laser Altimeter of Terrestrial Ecosystem Carbon Inventory Satellite

CHEN Xinyang; LONG Xiaoxiang; LI Qingpeng; LI Jingmei; HAN Qijin; XU Zhaopeng; YAO Weiyuan

doi:10.13203/j.whugis20230110

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Data Processing and Accuracy Verification for Laser Altimeter of Terrestrial Ecosystem Carbon Inventory Satellite

Photogrammetry and Remote Sensing | 更新时间：2026-11-05

- Data Processing and Accuracy Verification for Laser Altimeter of Terrestrial Ecosystem Carbon Inventory Satellite
- Geomatics and Information Science of Wuhan University Vol. 50, Issue 7, Pages: 1393-1403(2025)
- 作者机构：
  
  1.中国四维测绘技术有限公司，北京,100094
  2.中国资源卫星应用中心,北京，100094
  3.中国科学院空天信息创新研究院,北京，100094
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20230110
  CLC： P237
- Received：17 July 2023，
  
  Published：05 July 2025
- 稿件说明：
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陈新阳,龙小祥,李庆鹏，等.陆地生态系统碳监测卫星激光数据处理与精度验证[J].武汉大学学报（信息科学版）,2025,50(7):1393-1403.

CHEN Xinyang,LONG Xiaoxiang,LI Qingpeng,et al.Data Processing and Accuracy Verification for Laser Altimeter of Terrestrial Ecosystem Carbon Inventory Satellite[J].Geomatics and Information Science of Wuhan University,2025,50(7):1393-1403.
陈新阳,龙小祥,李庆鹏，等.陆地生态系统碳监测卫星激光数据处理与精度验证[J].武汉大学学报（信息科学版）,2025,50(7):1393-1403. DOI：10.13203/j.whugis20230110

CHEN Xinyang,LONG Xiaoxiang,LI Qingpeng,et al.Data Processing and Accuracy Verification for Laser Altimeter of Terrestrial Ecosystem Carbon Inventory Satellite[J].Geomatics and Information Science of Wuhan University,2025,50(7):1393-1403. DOI：10.13203/j.whugis20230110

摘要

陆地生态系统碳监测卫星是中国首颗森林碳汇主被动联合观测遥感卫星，多波束激光雷达是陆地生态系统碳监测卫星的主载荷，主要用于获取高精度的植被高度、反演调查森林生物量，通过计算激光到达树冠以及地面的时间差计算出高度等树木的特征信息。为实现主被动载荷一体化处理，从而实现生物量的精确反演，介绍了陆地生态系统碳监测卫星多波束激光雷达系统数据处理方法，提出了激光‑光学主被动载荷联合检校方法，并提出了激光数据、光轴监视相机和零度相机相对位置关系验证方案，首次实现了5波束激光雷达与光学相机主被动联合检校，并验证了激光非成像载荷与光学相机的相对定位关系。结果表明，经过联合处理后，激光数据测高精度优于0.7 m，平面定位精度优于6 m。激光数据与零度相机相对定位精度优于5 m，激光数据与光轴监视相机配准精度优于6 m。

Abstract

Objectives

The terrestrial ecosystem carbon inventory satellite(TECIS) is the first satellite using for observation joint active and passive detectoras of forest carbon sinks in China. Multi-beam light detection and ranging (LiDAR) is the main payload of TECIS

which used to obtain high-precision vegetation height

forest biomass inversion survey and calculate characteristic information of trees such as height by calculating the time difference between reaching the canopy and the ground. It is important to achieve the integrated processing of active and passive loads and achieve accurate biomass inversion.

Methods

We introduce the data processing method of multi-beam LiDAR system

and propose the joint calibration method for multi-beam LiDAR and optical cameras.What is more

we propose a verification method for the relative position relationship among multi-beam LiDAR

axis monitoring optical camera and zero degree optical camera. It is the first time for calibrating multi-beam LiDAR system and the zero degree camera in the same time and verified the relative positioning relationship between multi-beam LiDAR non imaging loads and optical cameras scientifically and rigorously.

Results

(1) In plain areas

the height measurement accuracy of multi-beam LiDAR is better than 0.7 m and the plane positioning accuracy is better than 6 m. (2) By using the positioning accuracy verification method of laser data and zero degree optical camera data based on combination of field control points and back-projection points

the matching errors between beams 1 to 5 of the multi-beam LiDAR and the zero degree optical camera are 4.14 m

4.42 m

3.90 m

4.27 m and 4.30 m

respectively

which can prove that it is possible that the laser data and optical camera data can be used together. (3) By using the positioning accuracy verification method of laser data and axis monitoring optical camera data based on zero degree optical camera

the matching errors between beams 1 to 5 of the multi beam LiDAR and axis monitoring optical camera is 0.72

0.74

0.70

0.73 and 0.74 axis monitoring optical camera pixels

respectively. The data matching accuracy of the laser data and axis monitoring optical camera data is good.

Conclusions

The experimental results show that the data processing method of TECIS and the verification method of laser data and optical camera data proposed are feasible. The target of high-precision processing and accuracy verification for the first forestry remote sensing satellite of China has come ture

which can use for monitoring of terrestrial ecosystem carbon storage

forest resources and forest productivity.It also can meet the requirements of subsequent scientific research and large-scale business applications. Meanwhile

the verification method of laser data and optical camera data can be used for accuracy verification of similar satellites in the future.

关键词

Keywords

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