DocumentCode
2707242
Title
The research of remote sensing geological interpretation in long-zhang expressway of Hunan
Author
Mao, Hongjiang ; Liu, Rui ; Rao, Xiaojun ; Zhang, Ting
Author_Institution
Chengdu Univ. of Technol., Chengdu, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
5
Abstract
With China´s continuous economic development, the requirement of transportation capacity is increasing, and a corresponding increase in highway construction is raised to an important position. As regions, which highway route straddled, often have volatile features and complex geological environment. When facing the complicated geological environment, the traditional exploration methods in the field have too many difficulties to cope with, and it is difficult to enhance and ensure the overall level and quality of engineering geological investigation. In this paper, the combination of ETM, TM, SPOT and other different resolution multi-source, multi-temporal remote sensing images and model three-dimensional images superposed by aster satellite to provide digital elevation model (DEM) are used in the interpretation of complexity of the study area along the road of adverse geological conditions; and through field investigation on the interpretation of the results of verification, the results show that this method is effective.
Keywords
digital elevation models; geology; geophysical image processing; geophysical techniques; remote sensing; 3D images; China; ETM images; Long-zhang Expressway; SPOT images; TM images; digital elevation model; geophysical exploration; remote sensing geological interpretation; remote sensing images; transportation capacity; Geology; Hazards; Image resolution; Remote sensing; Road transportation; Terrain factors; Vegetation mapping; DEM; adverse geological; engineering investigation; interpretation of remote sensing; interpretation signs;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980760
Filename
5980760
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