An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
文献类型：期刊论文
| 作者 | Guo, Qinghua5 ; Su, Yanjun5; Hu, Tianyu; Zhao, Xiaoqian1; Wu, Fangfang1; Li, Yumei1; Liu, Jin; Chen, Linhai1; Xu, Guangcai; Lin, Guanghui4
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| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2017 |
| 卷号 | 38期号:8-10页码:2954-2972 |
| ISSN号 | 0143-1161 |
| DOI | 10.3389/fpls.2017.00015 |
| 文献子类 | Article; Proceedings Paper |
| 英文摘要 | 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. |
| 学科主题 | Plant Sciences |
| 出版地 | ABINGDON |
| 电子版国际标准刊号 | 1366-5901 |
| WOS关键词 | UNMANNED AERIAL VEHICLE ; VELODYNE HDL-64E S2 ; LANDSAT ETM+ DATA ; ABOVEGROUND BIOMASS ; INDIVIDUAL TREES ; BIODIVERSITY ; HEIGHT ; CALIBRATION ; PARAMETERS ; ACCURACY |
| 语种 | 英语 |
| WOS记录号 | WOS:000392200700001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 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] |
| 源URL | [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.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA 2.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang, Peoples R China 3.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, 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. |
入库方式： OAI收割
来源：植物研究所
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