Abandoned Mine Lands Program TN #13 GIS Data Base For Colorado Springs AML Study Area - Objective

- Organization:
- The National Institute for Occupational Safety and Health (NIOSH)
- Pages:
- 2
- File Size:
- 1285 KB
- Publication Date:
- Jan 1, 1992
Abstract
Determine the extent to which remote-sensing techniques, primarily lineament analysis, can be used to identify geologic structures that may affect the location and migration of subsidence over abandoned underground coal mines in the Colorado Springs, CO, area. Compile data using a geographic information system (GIS) to allow efficient and reproducible comparisons and analyses. Background The basis for evaluating abandoned mine land (AML) sites with remote-sensing techniques comes from past and ongoing Bureau ground control research using remote-sensing data to identify potential hazards caused by geologic structures (faults, joints, etc.) above active underground coal mines. Research showed that lineament (linear feature) analysis of Landsat Multispectral Scanner (MSS) images could indicate locations of fractures and fracture trends that had varying, but significant, impacts on the stability of mine openings. Such geologic structures should be identifiable over abandoned mines as well. If fractures are present, even if they arc not faults, they should represent areas of potential instability over these mines and, therefore, should tend to localize subsidence when it occurs, particularly for deep and moderately deep portions of mines.
Citation
APA: (1992) Abandoned Mine Lands Program TN #13 GIS Data Base For Colorado Springs AML Study Area - Objective
MLA: Abandoned Mine Lands Program TN #13 GIS Data Base For Colorado Springs AML Study Area - Objective. The National Institute for Occupational Safety and Health (NIOSH), 1992.