Assessing and Correcting Topographic Effects on Forest Canopy Height Retrieval Using Airborne LiDAR Data
文献类型：期刊论文
| 作者 | Duan, Zhugeng1; Zhao, Dan1; Zeng, Yuan1; Zhao, Yujin1; Wu, Bingfang1; Zhu, Jianjun1 |
| 刊名 | SENSORS
 |
| 出版日期 | 2015 |
| 卷号 | 15期号:6页码:939-948 |
| 关键词 | LiDAR canopy height point cloud Dinghushan National Nature Reserve multi-resolution segmentation topography |
| 通讯作者 | Zeng, Y (reprint author), Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China. |
| 英文摘要 | Topography affects forest canopy height retrieval based on airborne Light Detection and Ranging (LiDAR) data a lot. This paper proposes a method for correcting deviations caused by topography based on individual tree crown segmentation. The point cloud of an individual tree was extracted according to crown boundaries of isolated individual trees from digital orthophoto maps (DOMs). Normalized canopy height was calculated by subtracting the elevation of centres of gravity from the elevation of point cloud. First, individual tree crown boundaries are obtained by carrying out segmentation on the DOM. Second, point clouds of the individual trees are extracted based on the boundaries. Third, precise DEM is derived from the point cloud which is classified by a multi-scale curvature classification algorithm. Finally, a height weighted correction method is applied to correct the topological effects. The method is applied to LiDAR data acquired in South China, and its effectiveness is tested using 41 field survey plots. The results show that the terrain impacts the canopy height of individual trees in that the downslope side of the tree trunk is elevated and the upslope side is depressed. This further affects the extraction of the location and crown of individual trees. A strong correlation was detected between the slope gradient and the proportions of returns with height differences more than 0.3, 0.5 and 0.8 m in the total returns, with coefficient of determination R-2 of 0.83, 0.76, and 0.60 (n = 41), respectively. |
| 研究领域[WOS] | Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000357869200002 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38179]  |
| 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.[Duan, Zhugeng 2.Zhao, Dan 3.Zeng, Yuan 4.Zhao, Yujin 5.Wu, Bingfang] Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China 6.[Duan, Zhugeng 7.Zhu, Jianjun] Cent S Univ, Sch GeoSci & Info Phys, Changsha 410083, Hunan, Peoples R China 8.[Duan, Zhugeng] Cent South Univ Forestry & Technol, Sch Sci, Changsha 410004, Hunan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Zhugeng,Zhao, Dan,Zeng, Yuan,et al. Assessing and Correcting Topographic Effects on Forest Canopy Height Retrieval Using Airborne LiDAR Data[J]. SENSORS,2015,15(6):939-948. |
| APA | Duan, Zhugeng,Zhao, Dan,Zeng, Yuan,Zhao, Yujin,Wu, Bingfang,&Zhu, Jianjun.(2015).Assessing and Correcting Topographic Effects on Forest Canopy Height Retrieval Using Airborne LiDAR Data.SENSORS,15(6),939-948. |
| MLA | Duan, Zhugeng,et al."Assessing and Correcting Topographic Effects on Forest Canopy Height Retrieval Using Airborne LiDAR Data".SENSORS 15.6(2015):939-948. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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