Individual Tree Delineation in Windbreaks Using Airborne-Laser-Scanning Data and Unmanned Aerial Vehicle Stereo Images
文献类型：期刊论文
| 作者 | Li, Dong1; Guo, Huadong1; Wang, Cheng1; Li, Wang1; Chen, Hanyue1; Zuo, Zhengli1 |
| 刊名 | IEEE Geoscience and Remote Sensing Letters
 |
| 出版日期 | 2016 |
| 卷号 | 13期号:9页码:1330-1334 |
| 关键词 | IMAGERY |
| 通讯作者 | Li, Wang (lwwhdz@sina.com) |
| 英文摘要 | This letter is aimed to compare the performance of canopy height models (CHMs) derived from airborne laser scanning (ALS) data and unmanned aerial vehicle (UAV) stereo images in the extraction of individual tree height and crown size. Treetops were identified using the local maximum algorithm from the Gaussian filtered CHMs. A parabola fitting was used to determine the crown size. Factors affecting the delineation results, such as point cloud density and the spatial distribution and growing status of trees, were analyzed. The results showed that the UAV stereo images, together with the ALS-derived digital elevation model (DEM), can achieve better performance than ALS data alone based on our data set. The match ratio between delineated and field-measured trees varied significantly, with the highest ratio of 66.94% obtained by UAV in the young aspen forest and the lowest ratio of 33.76% obtained by ALS in the old forest. Aside from the influence of point density, this letter also shed light on the important role that the spatial distribution and growing status of trees play in the delineation of individual trees. To conclude, integrating UAV stereo images with the ALS-derived DEM is effective in delineating individual tree attributes in small-scale windbreaks, which provides some suggestions for the future management of agriculture land. © 2016 IEEE. |
| 学科主题 | Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20163002643609 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39274]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100094, China 3. University of Chinese Academy of Sciences, Beijing 4.100049, China 5. Institute of Electronics, Chinese Academy of Sciences, Beijing 6.100190, China 7. Fujian Agriculture and Forestry University, Fuzhou 8.350002, China |
| 推荐引用方式 GB/T 7714 | Li, Dong,Guo, Huadong,Wang, Cheng,et al. Individual Tree Delineation in Windbreaks Using Airborne-Laser-Scanning Data and Unmanned Aerial Vehicle Stereo Images[J]. IEEE Geoscience and Remote Sensing Letters,2016,13(9):1330-1334. |
| APA | Li, Dong,Guo, Huadong,Wang, Cheng,Li, Wang,Chen, Hanyue,&Zuo, Zhengli.(2016).Individual Tree Delineation in Windbreaks Using Airborne-Laser-Scanning Data and Unmanned Aerial Vehicle Stereo Images.IEEE Geoscience and Remote Sensing Letters,13(9),1330-1334. |
| MLA | Li, Dong,et al."Individual Tree Delineation in Windbreaks Using Airborne-Laser-Scanning Data and Unmanned Aerial Vehicle Stereo Images".IEEE Geoscience and Remote Sensing Letters 13.9(2016):1330-1334. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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