Vertical distribution inversion of biochemical parameters using hyperspectral LiDAR

Shuai GAO; Zheng NIU; Gang SUN; Yuchu QIN; Wang LI; Haifeng TIAN

doi:10.11834/jrs.20187244

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Vertical distribution inversion of biochemical parameters using hyperspectral LiDAR
Vol. 22, Issue 5, Pages: 737-744(2018)
Received：19 June 2017，

Accepted：29 December 2017，

Published：2018-09
DOI： 10.11834/jrs.20187244
稿件说明：

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高帅, 牛铮, 孙刚, 覃驭楚, 李旺, 田海峰. 2018. 高光谱激光雷达提取植被生化组分垂直分布. 遥感学报, 22(5): 737–744 DOI： 10.11834/jrs.20187244.

Gao S, Niu Z, Sun G, Qin Y C, Li W and Tian H F. 2018. Vertical distribution inversion of biochemical parameters using hyperspectral LiDAR. Journal of Remote Sensing, 22(5): 737–744 DOI： 10.11834/jrs.20187244.

摘要

对地高光谱激光雷达可以获得观测对象含有高光谱属性的全波形激光雷达回波，为探测植被生化特征的立体分布提供了新的遥感探测手段。基于此仪器开展室内试验，提出了植被生化组分垂直分布提取方法。首先，针对仪器的特点，提出了高光谱激光雷达全波形数据处理的方法；其次，以火炬花为例开展了室内扫描，并对获取的高光谱激光雷达数据进行了处理，获得带有高光谱属性的激光雷达点云数据；最后，根据植被指数与生化组分的关系，提取了叶绿素和胡萝卜素的生化组分垂直分布结果。研究结果表明，在植被顶部生化组分含量较低，叶绿素a普遍低于0.5 mg/g，胡萝卜素低于0.2 mg/g，而在中部叶片处，生化组分含量明显较高，与红色(顶部)和绿色叶片(中部)在植被垂直方向的分布一致，这表明基于仪器开展植被生理生化参数垂直分布遥感反演具有极大的应用潜力。

Abstract

A hyperspectral Light Detection And Ranging (LiDAR) can obtain high spectral properties of the observed object and provides a new method for detecting a three dimesional distribution of vegetation structure and biochemical characteristics. In this study

a data process flow and a biochemical characteristics method were proposed. Laboratory experiments were conducted on the basis of this instrument

and a vertical distribution extraction method of vegetation biochemical components was provided. First

we proposed the hyperspectral LiDAR waveform data processing method in accordance with the characteristics of the instrument. Second

an indoor Kniphofia scanning experiment was utilized

and the LiDAR point cloud data with high spectral properties were obtained. Finally

chlorophyll and carotene vertical distributions were extracted on the basis of the relationship between the vegetation index and biochemical components. Results show that the biochemical content of a red leaf at the top of vegetation is low

which is generally lower than 0.5 mg/g

and carotene is less than 0.2 mg/g. However

the biochemical component content in the middle of the green leaves was evidently high. This study showed that the instrument has a considerable application prospect in the field of quantitative remote sensing.

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