Estimation of AGB based on ICESat-GLAS waveform and LPA data

被引：0
作者：
Cai L. [1 ]
Xing Y. [1 ]
Yue C. [2 ,3 ]
Huang J. [1 ]
Cui Y. [1 ]
机构：
[1] College of Engineering and Technology, Northeast Forestry University, Harbin
[2] Beijing Space Electromechanical Research Institute, Beijing
[3] Beijing Key Laboratory of Advanced Optical Remote Sensing Technology, Beijing
来源：
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2020年 / 49卷
关键词：
AGB; Background noise threshold; Canopy echo energy value; ICESat-GLAS; LPA data; Spaceborne lidar;
D O I：
10.3788/IRLA20200232
中图分类号：
学科分类号：
摘要：
In view of the low accuracy of the estimation of forest biomass by spaceborne lidar waveform data, Ice, Cloud, and land Elevation Satellite (ICESat)/Geoscience Laser Altimeter System, GLAS) echo waveform was used as an example, by modifying the background noise threshold of the GLAS echo waveform, identifying the GLAS canopy echo waveform, setting the position of the start and end points of the canopy echo waveform, the canopy echo energy parameter Eca, and based on the Laser Profile Array(LPA) data was corrected to Eca to obtain the corrected canopy echo waveform energy value parameter ECca, and then the aboveground biomass(AGB) was estimated. The research results show that the energy accuracy parameter Eca of the GLAS canopy echo waveform before and after correction by LPA data was 0.87 and 0.89, respectively, and the RMSE was 17.28 t/ha and 15.76 t/ha, respectively. The research results show that the canopy echo energy value parameter proposed in this paper can effectively estimate forest biomass, and the canopy echo waveform energy value parameter Eca can be improved by LPA data to improve the estimation accuracy of forest biomass. © 2020, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
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