文献类型：期刊文献

英文题名：Combining Airborne and Terrestrial Laser Scanning Technologies to Measure Forest Understorey Volume

作者：Liu, Luxia[1] Pang, Yong[1] Li, Zengyuan[1] Si, Lin[1] Liao, Shengxi[2]

通信作者：Pang, Y[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Res Inst Resources Insects, Kunming 650224, Peoples R China

年份：2017

卷号：8

期号：4

外文期刊名：FORESTS

收录：;EI(收录号：20171603573261);Scopus(收录号：2-s2.0-85017374315);WOS:【SCI-EXPANDED(收录号:WOS:000404099200017)】；

基金：This work was supported by National Basic Research Program of China (2013CB733404 and 2013CB733406). The authors are grateful to Xuan Guo, Giona Matasci, Tristan Goodbody, and Yuhao Lu for their editorial assistance and constructive comments which helped improve the quality of this paper.

语种：英文

外文关键词：ALS; canopy height profile; change detection; forest tending; forest understorey monitoring; TLS

摘要：A critical component of the forest ecosystem, the understorey supports the vast majority of wildlife habitat and total ecosystem floristic diversity. Remote sensing data have been developed to provide information at different scales for surveys of forest ecosystems, but obtaining information about the understorey remains a challenge. As rapid and efficient tools for forest structure attribute estimation, Airborne Laser Scanning (ALS) and Terrestrial Laser Scanning (TLS) have attracted much attention. We examine the relationship between ALS and TLS data and detect changes in the forest understorey caused by forest-tending events in the study area. We conducted trials in five plots within a young Khasi pine (Pinus kesiya Royle ex Gord.) plantation in Yunnan province, China, before and after forest tending. We collected bi-temporal ALS data in this area and TLS data from 10 scanning stations. Canopy height profiles were retrieved from ALS and TLS data, and understorey material volume retrieved from filled TLS voxels volume agreed well with the understorey point clouds percentile distribution (PD) obtained from ALS data. The PD value for the understorey from ALS multiplied by the percentage of ALS return points in the overstorey had a stronger correlation (R-2 = 0.90) with the TLS- derived understorey material volume than did the ALS PD value for the understorey only (R-2 = 0.71). Taking the effect of the overstorey into consideration will improve evaluations of forest understorey parameters from ALS data. This study confirmed the potential of TLS as a validation tool to assess the accuracy of forest understorey material volume estimation at large scales using ALS data.