Arid
DOI10.1117/12.693966
Comparison of the extracted DEMs in Heihe River upper and middle reaches
Chao, Zhenhua; Nan, Zhuotong; Li, Xin; Mao, Zhihua
通讯作者Chao, Zhenhua
会议名称Conference on Agriculture and Hydrology Applications of Remote Sensing
会议日期NOV 15-17, 2006
会议地点Goa, INDIA
英文摘要

The Digital Elevation Model (DEM) are terrain elevations at regularly spaced horizontal intervals, i.e., an a grid of regularly spaced elevations. With the development of computing technology, the methods of data acquisition, data storage and data processing speed for DEMs get along well. Heihe river lies in the northwest of China and is a continental river. It roots from snow-ice and disappears in deserts. The drainage area is about 140,000 square kilometers and the river is the main water source for the living. The upper reaches are mountainous and the runoff is very important. The middle reaches are oasis. At present, many hydrological and ecological models are introduced. The catchment basin and stream network data acquired from DEMs are main input data for many surface hydrological models. So the quality and resolution of DEMs are significant. Software ENVI Version 4.2 furnishes with the DEMs Extraction Module. The paper compared several methods for extracting DEMs of the upper reaches. We extracted the elevation data from the ASTER---stereo images with the module and created the DEM. Secondly; we collected the DEM based on the contour map of Heihe river. The comparison of the DEMs quality was carried out between the DEM from the contour map, the DEM extracted by ENVI Version 4.2. To a certain extent, the DEM from Aster imagery can reflect the terrain and be used in hydrological models.


英文关键词Digital Elevation Model Heihe River the upper and middle reaches ASTER stereo images the contour DEM
来源出版物AGRICULTURE AND HYDROLOGY APPLICATIONS OF REMOTE SENSING
ISSN0277-786X
EISSN1996-756X
出版年2006
卷号6411
ISBN978-0-8194-6518-4
出版者SPIE-INT SOC OPTICAL ENGINEERING
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000244437500029
WOS类目Agronomy ; Remote Sensing ; Water Resources
WOS研究方向Agriculture ; Remote Sensing ; Water Resources
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/295808
作者单位(1)Chinese Acad Sci, CAREERI, Lab Remote Sensing & Geospatial Sci, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Chao, Zhenhua,Nan, Zhuotong,Li, Xin,et al. Comparison of the extracted DEMs in Heihe River upper and middle reaches[C]:SPIE-INT SOC OPTICAL ENGINEERING,2006.
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