A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height
文献类型：期刊论文
| 作者 | Wang, Yuanyuan1; Li, Guicai1; Ding, Jianhua1; Guo, Zhaodi1; Tang, Shihao1; Wang, Cheng1; Huang, Qingni1; Liu, Ronggao1; Chen, Jing M.1 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2016 |
| 卷号 | 174页码:24-43 |
| 关键词 | DYNAMICS CLIMATE |
| 通讯作者 | Li, GC (reprint author), China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing, Peoples R China. |
| 英文摘要 | Mapping the global distribution of forest canopy height is important for estimating forest biomass and terrestrial carbon flux. In this study, we present a global map of mean forest canopy height at 500 m spatial resolution obtained by combining Geoscience Laser Altimeter System (GLAS) data acquired from 2005 to 2006 and 13 ancillary variables, including seven climatic variables and six remote sensing variables (nadir BRDF-adjusted reflectance at red and NIR bands, tree cover, anisotropic factor, accumulated Enhanced Vegetation Index, and elevation). The original contributions of this study include the following: (1) The wavelet method was applied to complement the GLA14 product to identify the ground peak and the top-canopy peak. We found that it was useful for dealing with waveforms with low reconstruction accuracy. (2) GLAS data from the leafless season were not used for non evergreen forest because the height retrieval results exhibited underestimation and strong variations. (3) The an isotropic factor (ANIF), an indicator related to surface structure, was included as an ancillary variable for the first time and was determined to be important for height modeling in the Asian and North American regions. (4) The balanced random forest (BRF) algorithm was applied to register GLAS mean forest canopy height to a 500 m grid considering the small proportion of extreme height classes (tall and short trees), and it achieved good performance in terms of modeling accuracy (RMSE = 2.75 to 4.45 m) and preserving data variation. An inter-comparison among three global forest height maps [the present study, Lefsky (2010), and Simard et al. (2011)] was implemented in a pixel-by-pixel manner. High agreement (R-2 = 0.73, RMSE = 4.49 m) was determined between the present study and Simard et al., whereas the result from Lefsky was notably different from the other two results (R-2 = 0.14, RMSE = 8.92 m, compared with the present study; R-2 = 0.11, RMSE 11.19 m, compared with Simard et al.). Large disparities were generally associated with evergreen broadleaf forests in South America, deciduous needleleaf forests in Europe and Russian North Asia, and evergreen needleleaf forests on the West Coast of North America. Differences in the height metric were a main factor affecting the disparities among the three results. Validation against field survey data acquired from the Distributed Active Archive Center indicated the accuracy of our mean forest canopy height map (R-2 = 0.63, RMSE = 4.68 m, n = 59). (C) 2015 Elsevier Inc. All rights reserved. |
| 学科主题 | Environmental Sciences & Ecology; Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000368746800003 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39483]  |
| 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.China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing, Peoples R China 2.Northeast Forestry Univ, Ctr Forest Operat & Environm, Harbin, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 5.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210008, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yuanyuan,Li, Guicai,Ding, Jianhua,et al. A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height[J]. REMOTE SENSING OF ENVIRONMENT,2016,174:24-43. |
| APA | Wang, Yuanyuan.,Li, Guicai.,Ding, Jianhua.,Guo, Zhaodi.,Tang, Shihao.,...&Chen, Jing M..(2016).A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height.REMOTE SENSING OF ENVIRONMENT,174,24-43. |
| MLA | Wang, Yuanyuan,et al."A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height".REMOTE SENSING OF ENVIRONMENT 174(2016):24-43. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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。