Integration and analysis of geophysical data and subsurface structure based on GIS

Guizhou Zheng; Bert Veenendaal; Yi Chao; Xiguang Li

doi:10.1117/12.712996

28 October 2006 Integration and analysis of geophysical data and subsurface structure based on GIS

Guizhou Zheng, Bert Veenendaal, Yi Chao, Xiguang Li

Proceedings Volume 6420, Geoinformatics 2006: Geospatial Information Science; 642021 (2006) https://doi.org/10.1117/12.712996
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

Geographical Information Systems (GIS) has become powerful tools for the management of multivariate information. GIS serves as a tool to supplement the shortage of existing geophysical analysis methods. The increased attentions to the research of deep geological structure are creating awareness of the potential of GIS technology for geophysical data analysis and data integration. It is an important approach that GIS is combined with geophysics for the resolving of various difficult problem of deep geological structure interpretations. Taking the data of Guangxi, China as an example, This paper presents the approach of geophysical data integration and the process of spatial overlay analysis based on GIS. The study has indicated there are the close relationships between the subsurface structure of study area and the geophysical properties such as gravity anomaly, aeromagnetic anomaly and seism. The weighted overlay analysis of different geophysical surveys provides new insights into the structures of the crustal underground. The Digital Elevation Model (DEM) analysis of geophysical data shows the existence of northeast structure and northwest structure more distinctly. The magnetotelluric resistivity 3D model created by 3D modeling tool of MAPGIS opens out the characters of subsurface geological structure decided by magnetotelluric data more visually.

Citation Download Citation

Guizhou Zheng, Bert Veenendaal, Yi Chao, and Xiguang Li "Integration and analysis of geophysical data and subsurface structure based on GIS", Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 642021 (28 October 2006); https://doi.org/10.1117/12.712996

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