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Proceedings Paper

32-channel hyperspectral waveform LiDAR instrument to monitor vegetation: design and initial performance trials
Author(s): Gang Sun; Zheng Niu; Shuai Gao; Wenjing Huang; Li Wang; Wang Li; Mingbo Feng
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Paper Abstract

A hyperspectral full waveform LiDAR instrument prototype with 32 wavelengths and a supercontinuum laser as a light source were designed for monitoring the fine structure and the biochemical parameters of vegetation. The optical design and instrumentation are described in this paper. Components of the instrument included an X/Y scanning platform, a supercontinuum laser source, a receiving optical system, and a 32-channel full waveform measurement module. The pulsed LiDAR instrument is able to measure the 32-channel returned full waveform laser signal. The distance of the interacted target can be obtained from position information in the recorded waveform. And the spectral reflectance can also be obtained from the intensity information in the waveform. The performance of the measuring distance and spectrum was evaluated. The initial performance trials indicated that the instrument is capable of high measurement accuracy and has the ability to detect the biochemical characteristics of vegetation. The experiment also indicated that the instrument has the potential to generate a 3D point cloud with spectral information. Therefore, the instrument can play a significant role in detecting the vertical distribution of biophysical and biochemical characteristics of vegetation.

Paper Details

Date Published: 18 November 2014
PDF: 7 pages
Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 926331 (18 November 2014); doi: 10.1117/12.2066788
Show Author Affiliations
Gang Sun, Institute of Remote Sensing and Digital Earth (China)
Zheng Niu, Institute of Remote Sensing and Digital Earth (China)
Shuai Gao, Institute of Remote Sensing and Digital Earth (China)
Wenjing Huang, Institute of Remote Sensing and Digital Earth (China)
Li Wang, Institute of Remote Sensing and Digital Earth (China)
Wang Li, Institute of Remote Sensing and Digital Earth (China)
Mingbo Feng, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 9263:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)

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