Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite

激光雷达 遥感 地形 仰角(弹道) 高度计 卫星 树冠 天蓬 环境科学 数字高程模型 激光扫描 均方误差 地理 激光器 数学 地图学 统计 航空航天工程 工程类 物理 几何学 考古 光学
作者
Liming Du,Yong Pang,Wenjian Ni,Xiaojun Liang,Zengyuan Li,Juan Carlos Pinilla Suárez,Wei Wei
出处
期刊:Geo-spatial Information Science [Informa]
卷期号:: 1-11 被引量:3
标识
DOI:10.1080/10095020.2023.2249037
摘要

Accurate estimation of forest terrain and canopy height is crucial for timely understanding of forest growth. Gao Fen-7 (GF-7) Satellite is China’s first sub-meter-level three-dimensional (3D) mapping satellite for civilian use, which was equipped with a two-line-array stereo mapping camera and a laser altimeter system that can provide stereo images and full waveform LiDAR data simultaneously. Most of the existing studies have concentrated on evaluating the accuracy of GF-7 for topographic survey in bare land, but few have in-depth studied its ability to measure forest terrain elevation and canopy height. The purpose of this study is to evaluate the potential of GF-7 LiDAR and stereo image for forest terrain and height measurement. The Airborne Laser Scanning (ALS) data were utilized to generate reference terrain and forest vertical information. The validation test was conducted in Pu’er City, Yunnan Province of China, and encouraging results have obtained. The GF-7 LiDAR data obtained the accuracy of forest terrain elevation with RMSE of 8.01 m when 21 available laser footprints were used for results verification; meanwhile, when it was used to calculate the forest height, R2 of 0.84 and RMSE of 3.2 m were obtained although only seven effective footprints were used for result verification. The canopy height values obtained from GF-7 stereo images have also been proven to have high accuracy with the resolution of 20 m × 20 m compared with ALS data (R2 = 0.88, RMSE = 2.98 m). When the results were verified at the forest sub-compartment scale that taking into account the forest types, further higher accuracy (R2 = 0.96, RMSE = 1.23 m) was obtained. These results show that GF-7 has considerable application potential in forest resources monitoring.
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