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 卫星 树冠 天蓬 环境科学 地质学 地理 地图学 航空航天工程 工程类 考古
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 [Taylor & Francis]
卷期号:27 (3): 811-821 被引量:19
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ding应助cyndi采纳,获得10
1秒前
慈祥的越泽完成签到,获得积分10
2秒前
3秒前
俗丨完成签到,获得积分10
4秒前
搜集达人应助jiayelong采纳,获得10
4秒前
bkagyin应助jiayelong采纳,获得10
4秒前
可爱的函函应助jiayelong采纳,获得10
4秒前
田様应助jiayelong采纳,获得10
4秒前
小蘑菇应助jiayelong采纳,获得10
4秒前
今后应助jiayelong采纳,获得10
4秒前
天天快乐应助jiayelong采纳,获得10
4秒前
爆米花应助jiayelong采纳,获得10
4秒前
Hou完成签到,获得积分10
4秒前
5秒前
酷酷的代芙完成签到,获得积分10
5秒前
JJ完成签到,获得积分10
5秒前
端庄的以寒完成签到,获得积分10
6秒前
8秒前
SongSong关注了科研通微信公众号
8秒前
Ava应助Hou采纳,获得10
9秒前
11秒前
wjj119完成签到,获得积分10
12秒前
12秒前
锦哥发布了新的文献求助10
13秒前
烟花应助专注思远采纳,获得10
15秒前
15秒前
一只萌新完成签到,获得积分10
16秒前
孟婉瑶完成签到,获得积分10
16秒前
Ava应助同城代打采纳,获得10
16秒前
17秒前
17秒前
18秒前
19秒前
江芯发布了新的文献求助10
20秒前
小分队完成签到,获得积分10
23秒前
23秒前
yuanqi完成签到,获得积分10
24秒前
小分队发布了新的文献求助10
25秒前
26秒前
迅速的岩发布了新的文献求助10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
A Research Agenda for Law, Finance and the Environment 800
Development Across Adulthood 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
A Time to Mourn, A Time to Dance: The Expression of Grief and Joy in Israelite Religion 700
The formation of Australian attitudes towards China, 1918-1941 640
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6446837
求助须知:如何正确求助?哪些是违规求助? 8260056
关于积分的说明 17596923
捐赠科研通 5508074
什么是DOI,文献DOI怎么找? 2902172
邀请新用户注册赠送积分活动 1879177
关于科研通互助平台的介绍 1719472