An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China

doi:10.3389/fpls.2017.00015

	An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
	Guo, Qinghua1 ; Su, Yanjun 1; Hu, Tianyu ; Zhao, Xiaoqian 2; Wu, Fangfang 2; Li, Yumei 2; Liu, Jin ; Chen, Linhai 2; Xu, Guangcai ; Lin, Guanghui 3; Zheng, Yi 3; Lin, Yiqiong 3; Mi, Xiangcheng ; Fei, Lin 4; Wang, Xugao 4
	2017
发表期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
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
DOI	10.3389/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
EISSN	1366-5901
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：121[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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