A Characteristics and Assessment Analysis of DEM Products
Received date: 2005-06-01
Revised date: 2005-09-01
Online published: 2005-11-25
Digital elevation model(DEM) is a digital model-building process of terrain relief. DEM is an important data set in sustaining geographical process model research. The DEM precision of acquiring, operation and compression would influence the simulation effect and research quality of relative Geo-models directly. In this paper, several DEM datasets had been analyzed and compared, which are used abroad in the international geographical society. 3D profile and check-point methods were applied in the research to complete the precision verifying and appraising of the three main DEM datasets, which are GTOPO30 DEM data with 30 arc resolution, SRTM DEM with 90m resolution and the DEM with 25m resolution produced by national foundational geographical information center. Based on the comparison, the main factors effecting the precision and the quality of SRTM_DEM are discussed. The results indicate that, in the indexes of extremum, mean and std. variance, SRTM_DEM is two times as well as GTOPO30_DEM. SRTM_DEM has better data quality control in the difference value as compared to NFGIS_DEM, and SRTM_DEM also has the mean absolute value about 0.3m (ie. SRTM_DEM has a higher confidence level in the general quality). The precision of SRTM_DEM has a great predominance in the geographical process model research, especially for the relative research ability sensitive to the spatial resolution of DEM.
Key words： 3D profile; check point; digital elevation model; global change research; SRTM
LI Shuang,, YAO Jing . A Characteristics and Assessment Analysis of DEM Products[J]. PROGRESS IN GEOGRAPHY, 2005 , 24(6) : 99 -108 . DOI: 10.11820/dlkxjz.2005.06.012
[1] MILLER, C.L. & LAFLAMME, R.A. (1958): The digital terrain model. - Engineer and Remote Sensing, 24: 433~442.
[2] 李志林, 朱 庆. 数字高程模型. 武汉: 武汉测绘科技大学出版社, 2000.
[3] Mark, D.M. 1978. Concepts of Data Structure for Digital Terrain Models. Proceeding of DTM Symp. American Society of Photogrammetry-American Congress on Survey and Mapping, St Louis, Missouri: 24~31.
[4] Pike, R., 2000. Geomorphometry - diversity in quantitative surface analysis. Progress in Physical Geography, 24: 1~21.
[5] 闾国年, 钱亚东, 陈钟明. 基于栅格数字高程模型提取特征地貌技术研究. 地理学报, 1998,53(6): 562~569.
[6] Pike R. Geomorphometry-process, practice and prospects. Zeitshcrift f. Geomorphologie N.F. suppl. Bd. 1995,101:221~238.
[7] Burrough, P.A. 1986. Digital Elevation Models, in Principles of Geographical Information Systems for Land Resources Assessment: 39~56, Oxford: Clarendon Press.
[8] Hutchinson, M. (1988). Calculation of hydrologically sound digital elevation models. Third International Symposium on Spatial Data Handling, Columbus, Ohio, International Geographical Union.
[9] Hutchinson, M. (1989). "A new procedure for gridding elevation and stream line data with automatic removal of spurious pits." Journal of Hydrology 106: 211~232.
[10] http://www.spotimage.fr/html/_167_.php
[11] 王 风, Veronique PRINET, 马颂德. 用干涉合成孔径雷达技术获取地表三维信息. 自动化学报, 2002, 28(4): 527~534.
[12] L.C.Graham. Synthetic interferometer radar for topography mapping. Proc. IEEE, 1974, 62：763~76.
[13] http://srtm.usgs.gov/
[14] 唐新明, 林宗坚, 吴 岚. 基于等高线和高程点建立DEM的精度评价方法探讨. 遥感信息,1999(3):7~10.
[15] USGS-EROS Data Center (United States Geological Survey- Earth Resources Observation Systems Data Center). 1997. GTOPO30 documentation (README file).
[16] 胡庆东. 干涉SAR 图像系统相干性和相位展开算法研究
[博士论文]. 北京: 北京航空航天大学, 1998.
/
| 〈 |
|
〉 |