Verification of performance of understory terrain inversion from spaceborne lidar GEDI data

doi:10.12302/j.issn.1000-2006.202201041

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (2): 141-149.doi: 10.12302/j.issn.1000-2006.202201041

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Verification of performance of understory terrain inversion from spaceborne lidar GEDI data

DONG Hanyuan(), YU Ying^*(), FAN Wenyi

Key Laboratory of Sustainable Forest Ecosystem Management, Ministry of Education, College of Forestry, Northeast Forestry University, Harbin 150040, China

Received:2022-01-26 Revised:2022-04-07 Online:2023-03-30 Published:2023-03-28

Abstract

Abstract:

【Objective】 The new generation of the space-based altimetry global ecosystem dynamics investigation (GEDI) system is of great significance to forest observation and management. In order to explore the performance of GEDI version 2 data (V2 data) inversion of understory topography, this study uses airborne radar data to verify the accuracy of understory topography inversion, and explores the factors affecting the accuracy.【Method】 Taking the Cibola forest in the United States and the Maoer Mountain forest in China as the research objects, the performances of GEDI V2 data in coniferous forests and mixed coniferous and broad-leaved forests were verified using G-liht and Maoer Mountain high-precision airborne radar data. The effects of different beam intensities, spot times, slopes and vegetation coverage on the accuracy of terrain inversion were analyzed.【Result】 The root mean square error (RMSE) of topographic inversion accuracy in the Cibola taiga area of the United States was 2.33 m, and the average absolute error (MAE) was 1.48 m. The RMSE value of the topographic inversion accuracy in the coniferous and broad-leaved mixed forest area of Maoer Mountain was 4.49 m, and the MAE value was 3.33 m. With the increase in slope and vegetation coverage, the topographic inversion accuracy of the two forest types decreased.【Conclusion】 The GEDI V2 data inversion accuracy of understory topography in coniferous forests was higher than that of mixed coniferous and broad-leaved forests. Strong beams were better than coverage beams, and the accuracy was higher during the daytime in humid areas, and better at night in arid areas. The accuracy of steep areas was reduced, the terrain inversion accuracy was higher in areas with medium and low vegetation coverage, and the performances of terrain determination in areas with high vegetation coverage were decreased.

Key words: spaceborne lidar, global ecosystem dynamics investigation (GEDI), terrain under forest, inversion accuracy, slope, vegetation coverage

CLC Number:

S771.8

DONG Hanyuan, YU Ying, FAN Wenyi. Verification of performance of understory terrain inversion from spaceborne lidar GEDI data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(2): 141-149.

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项目 project	参数 parameter
发射时间 launch time	2018年12月5日
周期 cycle	2 a
探测器 detector	硅雪崩光电二极管 Si:APD
脉冲激光波长 pulsed laser wavelength pulsed laser wavelength	1 064 nm
轨道倾角和覆盖范围 orbital inclination and coverage	轨道倾角51.6°;覆盖范围 51.6°N~51.6°S
轨道 track	3个激光器共8轨
光束 beam	一束激光分裂为两束覆盖光束;另外两束为全功率,4束光束抖动为8条轨迹
功率(全功率/覆盖) power(full power/coverage)	15 mJ/4.5 mJ
光斑直径 spot diameter	25 m
沿轨间距 distance along the track	60 m
跨轨间距 cross-rail spacing	600 m

坡度/(°) slope	MAE/m	R²	RMSE/m
0~5	0.59/0.97	1.00/1.00	0.83/1.74
≥5~10	0.98/1.75	1.00/1.00	1.42/2.59
≥10~15	1.40/2.82	1.00/1.00	1.89/3.78
≥15~20	1.94/3.64	1.00/1.00	2.64/4.66
≥20~30	2.91/4.68	1.00/1.00	3.77/5.74
≥30	4.24/5.80	1.00/1.00	5.37/6.95

植被覆盖度/% vegetation coverage	MAE/m	R²	RMSE/m
0	0.90/—	1.00/—	1.19/—
>0~20	1.24/1.15	1.00/1.00	1.73/1.26
>20~40	1.25/1.32	1.00/1.00	1.99/1.46
>40~60	1.07/1.40	1.00/1.00	1.64/1.91
>60~80	1.38/2.17	1.00/1.00	2.21/3.13
>80~90	1.57/2.84	1.00/1.00	2.50/3.91
>90~100	1.69/3.85	1.00/1.00	2.60/5.00

Verification of performance of understory terrain inversion from spaceborne lidar GEDI data

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