Simulation method of forest return waveform for large-footprint LiDAR

Shuqi Yang; Chunyu Yue; Jukui Yang

doi:10.1117/12.2625597

27 March 2022 Simulation method of forest return waveform for large-footprint LiDAR

Shuqi Yang, Chunyu Yue, Jukui Yang

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121699T (2022) https://doi.org/10.1117/12.2625597
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

The application of space-borne lidar data in forestry is mainly focused on the inversion of forest parameters. However, there are many complex input parameters in the GORT(geometrical optical radiation transmission) model used in space-borne large-spot full-waveform lidar echo simulator, which are difficult to obtain and rely on empirical formulas. As a result, there is no unified and complete forest space model. In this paper, We perform data processing and feature parameter extraction on point cloud data, then we establish a forest echo model including sensor design parameters, vegetation and ground parameters in the target area, and laser radiation transmission characteristics. We compared the simulated forest echo wave with the corresponding GLAS wave in the experimental area. The results show that the correlation coefficient between the simulated forest echo waveform and the GLAS waveform is greater than 0.80.

Citation Download Citation

Shuqi Yang, Chunyu Yue, and Jukui Yang "Simulation method of forest return waveform for large-footprint LiDAR", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121699T (27 March 2022); https://doi.org/10.1117/12.2625597

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