IB-CAS  > 植被与环境变化国家重点实验室
An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
Guo, Qinghua1; Su, Yanjun1; Hu, Tianyu; Zhao, Xiaoqian2; Wu, Fangfang2; Li, Yumei2; Liu, Jin; Chen, Linhai2; Xu, Guangcai; Lin, Guanghui3; Zheng, Yi3; Lin, Yiqiong3; Mi, Xiangcheng; Fei, Lin4; Wang, Xugao4
2017
发表期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
卷号38期号:8-10页码:2954-2972
摘要In recent decades, global biodiversity has gradually diminished due to the increasing pressure from anthropogenic activities and climatic change. Accurate estimations of spatially continuous three-dimensional (3D) vegetation structures and terrain information are prerequisites for biodiversity studies, which are usually unavailable in current ecosystem-wide studies. Although the airborne lidar technique has been successfully used for mapping 3D vegetation structures at landscape and regional scales, the relatively high cost of airborne lidar flight mission has significantly limited its applications. The unmanned aerial vehicle (UAV) provides an alternative platform for lidar data acquisition, which can largely lower the cost and provide denser lidar points compared with airborne lidar. In this study, we implemented a low-cost UAV-borne lidar system, including both a hardware system and a software system, to collect and process lidar data for biodiversity studies. The implemented UAV-borne lidar system was tested in three different ecosystems across China, including a needleleaf- broadleaf mixed forest, an evergreen broadleaf forest, and a mangrove forest. Various 3D vegetation structure parameters (e.g. canopy height model, canopy cover, leaf area index, aboveground biomass) were derived from the UAV-borne lidar data. The results show that the implemented UAV-borne lidar system can generate very high resolution 3D terrain and vegetation information. The developed UAV-based hardware and software systems provide a turn-key solution for the use of UAV-borne lidar data on biodiversity studies.
学科领域Plant Sciences
DOI10.3389/fpls.2017.00015
收录类别SCI
语种英语
WOS关键词UNMANNED AERIAL VEHICLE ; VELODYNE HDL-64E S2 ; LANDSAT ETM+ DATA ; ABOVEGROUND BIOMASS ; INDIVIDUAL TREES ; BIODIVERSITY ; HEIGHT ; CALIBRATION ; PARAMETERS ; ACCURACY
WOS记录号WOS:000392200700001
出版者TAYLOR & FRANCIS LTD
文献子类Article; Proceedings Paper
出版地ABINGDON
EISSN1366-5901
资助机构National Key Research Program of China [2016YFC0500202] ; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31270563, 41471363, 41401505] ; National Science FoundationNational Science Foundation (NSF) [DBI 1356077]
作者邮箱qguo@ibcas.ac.cn
作品OA属性gold, Green Published
引用统计
被引频次:112[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/22114
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China
2.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
4.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang, Peoples R China
推荐引用方式
GB/T 7714
Guo, Qinghua,Su, Yanjun,Hu, Tianyu,et al. An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2017,38(8-10):2954-2972.
APA Guo, Qinghua.,Su, Yanjun.,Hu, Tianyu.,Zhao, Xiaoqian.,Wu, Fangfang.,...&Wang, Xugao.(2017).An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(8-10),2954-2972.
MLA Guo, Qinghua,et al."An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.8-10(2017):2954-2972.
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