Quantifying Surface Subsidence using Remote Sensing, Geomorphology and Seismic Methods: Implications for Sinkhole Development and Risk Assessment along Rapidly Developing Urban Corridors
项目名称: Quantifying Surface Subsidence using Remote Sensing, Geomorphology and Seismic Methods: Implications for Sinkhole Development and Risk Assessment along Rapidly Developing Urban Corridors
摘要: This research project has been analyzing and developing a time series of high resolution tonal imagery and high resolution digital elevation models from satellite data in the vicinity of Brandy Lake, KS. In the Spring, the plan is to obtain high resolution seismic data along two transects; one north-south and the other east-west to document the subsurface structure along what may be an active sinkhole and relate what the image in the subsurface to the surface geomorphology. Based on the findings, the plan is to submit a comprehensive collaborative proposal by the Kansas Geological Survey, Department of Geology, and Department of Engineering to the National Science Foundation geohazards program in October 2008. The proposal will develop an integrated workflow to produce in a short time frame a regional inventory of potentially active sink holes in the state of Kansas using space based technology. The remote sensing results can then be verified using surface geomorphology and seismic methods.
状态: Active
资金: 0.00
资助组织: Research and Innovative Technology Administration
项目负责人: Johnson, Shawn
执行机构: University of Kansas, Brandy Lake
开始时间: 20120510
主题领域: Data and Information Technology;Highways;Maintenance and Preservation
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