Estimating woody aboveground biomass in an area of agroforestry using airborne light detection and ranging and compact airborne spectrographic imager hyperspectral data: individual tree analysis incorporating tree species information
文献类型：期刊论文
| 作者 | Wang, Zhihui1,2,3,4; Liu, Liangyun1; Peng, Dailiang1; Liu, Xinjie1; Zhang, Su1; Wang, Yingjie1 |
| 刊名 | JOURNAL OF APPLIED REMOTE SENSING
 |
| 出版日期 | 2016-07-19 |
| 卷号 | 10页码:20 |
| 关键词 | agroforestry woody aboveground biomass individual tree analysis light detection and ranging tree species |
| ISSN号 | 1931-3195 |
| DOI | 10.1117/1.JRS.10.036007 |
| 通讯作者 | Liu, Liangyun(liuly@radi.ac.cn) |
| 英文摘要 | Until now, there have been only a few studies that have made estimates of the woody aboveground biomass (AGB) in an area of agroforestry using remote sensing technology. The woody AGB density was estimated using individual tree analysis (ITA) that incorporated tree species information using a combination of airborne light detection and ranging (LiDAR) and compact airborne spectrographic imagery acquired over a typical agroforestry in northwestern China. First, a series of improved LiDAR processing algorithms was applied to achieve individual tree segmentation, and accurate plot-level canopy heights and crown diameters were obtained. The individual tree species were then successfully classified using both spectral and shape characteristics with an overall accuracy of 0.97 and a kappa coefficient of 0.85. Finally, the tree-level AGB (kg) was estimated based on the ITA; the AGB density (Mg/ha) was then upscaled based on the tree-level AGB values. It is concluded that, compared with the commonly used area-based method combining LiDAR and spectral metrics [root mean square error (RMSE) = 19.58 Mg/ha], the ITA method performs better at estimating AGB density (RMSE = 10.56 Mg/ha). The tree species information also improved the accuracy of the AGB estimation even though the species are not well diversified in this study area. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) |
| WOS关键词 | SMALL-FOOTPRINT LIDAR ; LASER SCANNER DATA ; CARBON SEQUESTRATION ; FOREST STRUCTURE ; TROPICAL FOREST ; CLASSIFICATION ; MODEL ; ENVIRONMENT ; ECOSYSTEM ; HEIGHTS |
| 资助项目 | high-resolution earth observation project of China[30-Y20A29-9003-15/17] ; National Natural Science Foundation of China[41571423] ; Innovative Scientists and Technicians Troop Construction Projects of Henan Province[162101510004] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000389723900001 |
| 出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
| 资助机构 | high-resolution earth observation project of China ; National Natural Science Foundation of China ; Innovative Scientists and Technicians Troop Construction Projects of Henan Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/65443]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Liangyun |
| 作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 2.Minist Water Resources, Key Lab Loess Plateau Soil Eros & Water Proc & Co, Zhengzhou 450003, Peoples R China 3.Minist Water Resources, Yellow River Inst Hydraul Res, Yellow River Conservancy Commiss, Zhengzhou 450003, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhihui,Liu, Liangyun,Peng, Dailiang,et al. Estimating woody aboveground biomass in an area of agroforestry using airborne light detection and ranging and compact airborne spectrographic imager hyperspectral data: individual tree analysis incorporating tree species information[J]. JOURNAL OF APPLIED REMOTE SENSING,2016,10:20. |
| APA | Wang, Zhihui,Liu, Liangyun,Peng, Dailiang,Liu, Xinjie,Zhang, Su,&Wang, Yingjie.(2016).Estimating woody aboveground biomass in an area of agroforestry using airborne light detection and ranging and compact airborne spectrographic imager hyperspectral data: individual tree analysis incorporating tree species information.JOURNAL OF APPLIED REMOTE SENSING,10,20. |
| MLA | Wang, Zhihui,et al."Estimating woody aboveground biomass in an area of agroforestry using airborne light detection and ranging and compact airborne spectrographic imager hyperspectral data: individual tree analysis incorporating tree species information".JOURNAL OF APPLIED REMOTE SENSING 10(2016):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。