College of Forestry, Beijing Forestry University, Beijing 100083, China.
Academy of Forest Inventory and Planning, National Forestry and Grassland Administration, Beijing 100714, China.
Sensors (Basel). 2019 Apr 10;19(7):1699. doi: 10.3390/s19071699.
The use of satellite-borne large-footprint LiDAR (light detection and ranging) systems allows for the acquisition of forest monitoring data. This paper mainly describes the design, use, operating principles, installation and data properties of the new Laser Vegetation Detecting Sensor (LVDS), a LiDAR system designed and developed at the Academy of Forest Inventory and Planning (AFIP) and the Beijing Institute of Telemetry (BIT). Data from LVDS were used to calculate the mean height of forest trees on sample plots using data collected in the Hunan province of China. The results show that the full waveform data obtained by LVDS has the ability to accurately characterize forest height. The mean absolute percentage error of mean forest height per plot in flat areas was 6.8%, with a mean absolute deviation of 0.78 m. The airborne LVDS system provides prototype data sets and a platform for instrument proof-of-concept studies for China's Terrestrial Ecosystem Carbon Monitoring (TECM) mission, which is an Earth remote sensing satellite due for launch in 2020. The information produced by LVDS allows for forest structure studies with high accuracy and coverage of large areas.
卫星搭载的大光斑激光雷达（Light Detection and Ranging）系统可用于获取森林监测数据。本文主要介绍了由中国林业科学研究院资源信息研究所（AFIP）和北京空间机电研究所（BIT）联合设计开发的新型激光植被探测传感器（LVDS）的设计、使用、工作原理、安装和数据特性。使用 LVDS 数据计算了中国湖南省样地森林树木的平均高度。结果表明，LVDS 获得的全波形数据具有准确描述森林高度的能力。在平坦地区，每个样地平均森林高度的绝对平均百分比误差为 6.8%，平均绝对偏差为 0.78 米。机载 LVDS 系统为中国 2020 年发射的对地观测卫星——陆地生态系统碳监测（TECM）任务提供了原型数据集和仪器概念验证研究的平台。LVDS 提供的信息可用于对大面积森林结构进行高精度和全覆盖的研究。
