Abstract
Coal mine subsidence hazard can be effectively evaluated by geographic information system (GIS) analysis if sufficient data is provided. It is, however, difficult to obtain ground-based data, especially in remote and less populated mining areas. In this study, we construct and validate a coal mine subsidence hazard map in Taebaek, Korea, by integration of space-borne L-band synthetic aperture radar (SAR) measurements and a fuzzy-based subsidence model. There is an approximately 15-year time interval between the radar measurements used for the subsidence hazard model and those used to validate the subsidence. A subsidence hazard map was constructed using Japanese Earth Resources Satellite (JERS-1) SAR data from the early 1990s and the subsidence model. For the coal mine subsidence hazard mapping, a certainty factor analysis was used to estimate the relative weights of four control factors influencing coal mine subsidence, and the relative weight of each factor was then integrated to produce a subsidence hazard index by a fuzzy combination operator. The predicted hazard areas were then investigated and validated by comparison with subsidence occurrences observed by Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) interferometry in 2007-2008. The results showed a good agreement between the predicted locations vulnerable to subsidence and the actual subsidence occurrences with a prediction accuracy of about 73% and a root mean square error of about 0.35. These results demonstrate that a map produced by integration of a subsidence model and SAR interferometry can be used to predict and monitor coal mine subsidence hazards, especially in remote regions.
Original language | English |
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Pages (from-to) | 8161-8181 |
Number of pages | 21 |
Journal | International Journal of Remote Sensing |
Volume | 32 |
Issue number | 23 |
DOIs | |
Publication status | Published - 2011 Dec |
Bibliographical note
Funding Information:This work was supported by the Korea Research Foundation (grant KRF-2009-013-C00051). Support was also provided by the Public Applications Research of Satellite Data project (PG47610) funded by the Korea Research Council of Fundamental Science & Technology. The authors are grateful to the staff of the Mine Reclamation Corporation who provided investigation reports and a basic GIS database.
All Science Journal Classification (ASJC) codes
- Earth and Planetary Sciences(all)