中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A practical method for SRTM DEM correction over vegetated mountain areas

文献类型:期刊论文

作者Su, Yanjun; Guo, Qinghua
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版日期2014
卷号87页码:216-228
关键词Digital elevation model (DEM) Shuttle Radar Topographic Mission (SRTM) Light Detection and Ranging (Lidar) Correction Vegetation Mountain
ISSN号0924-2716
DOI10.1016/j.isprsjprs.2013.11.009
文献子类Article
英文摘要Digital elevation models (DEMs) are essential to various applications in topography, geomorphology, hydrology, and ecology. The Shuttle Radar Topographic Mission (SRTM) DEM data set is one of the most complete and most widely used DEM data sets; it provides accurate information on elevations over bare land areas. However, the accuracy of SRTM data over vegetated mountain areas is relatively low as a result of the high relief and the penetration limitation of the C-band used for obtaining global DEM products. The objective of this study is to assess the performance of SRTM DEMs and correct them over vegetated mountain areas with small-footprint airborne Light Detection and Ranging (Lidar) data, which can develop elevation products and vegetation products [e.g., vegetation height, Leaf Area Index (LAI)] of high accuracy. The assessing results show that SRTM elevations are systematically higher than those of the actual land surfaces over vegetated mountain areas. The mean difference between SRTM DEM and Lidar DEM increases with vegetation height, whereas the standard deviation of the difference increases with slope. To improve the accuracy of SRTM DEM over vegetated mountain areas, a regression model between the SRTM elevation bias and vegetation height, LAI, and slope was developed based on one control site. Without changing any coefficients, this model was proved to be applicable in all the nine study sites, which have various topography and vegetation conditions. The mean bias of the corrected SRTM DEM at the nine study sites using this model (absolute value) is 89% smaller than that of the original SRTM DEM, and the standard deviation of the corrected SRTM elevation bias is 11% smaller. Published by Elsevier B.V. on behalf of International Society for Photogrammety and Remote Sensing, Inc. (ISPRS).
学科主题Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
出版地AMSTERDAM
电子版国际标准刊号1872-8235
WOS关键词DIGITAL ELEVATION MODELS ; C-BAND ; SHUTTLE RADAR ; TOPOGRAPHY MISSION ; WAVE-PROPAGATION ; LIDAR DATA ; AIRBORNE ; ACCURACY ; INTERPOLATION ; ATTENUATION
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000331502900018
出版者ELSEVIER
资助机构National Science Foundation of China [31270563] ; National Science Foundation [EAR 0922307]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/27122]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
2.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA 95343 USA
推荐引用方式
GB/T 7714
Su, Yanjun,Guo, Qinghua. A practical method for SRTM DEM correction over vegetated mountain areas[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2014,87:216-228.
APA Su, Yanjun,&Guo, Qinghua.(2014).A practical method for SRTM DEM correction over vegetated mountain areas.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,87,216-228.
MLA Su, Yanjun,et al."A practical method for SRTM DEM correction over vegetated mountain areas".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 87(2014):216-228.

入库方式: OAI收割

来源:植物研究所

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