Abstract
Ground subsidence susceptibility at a coal mine by integration of L-band SAR measurements and a subsidence hazard model incorporated in GIS was estimated. A subsidence hazard map was constructed using JERS-1 SAR data from the early 1990s and the subsidence hazard model. A certainty factor analysis was employed for estimating the relative weights of four control factors influencing coal mine subsidence. The relative weight of each factor was then integrated to generate a subsidence hazard index (SHI) by a fuzzy combination operator. The hazard map was validated by comparison with subsidence observed by 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 an accuracy of about 72.5%. These results showed that the map produced by integration of InSAR and GIS can be used to predict and monitor coal mine subsidence hazards, especially in remote regions.
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 |
| Pages | 4588-4591 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2010 Dec 1 |
| Event | 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, HI, United States Duration: 2010 Jul 25 → 2010 Jul 30 |
Other
| Other | 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 |
|---|---|
| Country | United States |
| City | Honolulu, HI |
| Period | 10/7/25 → 10/7/30 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Earth and Planetary Sciences(all)
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Integration of InSAR and GIS for an estimation of ground subsidence susceptibility. / Choi, Jong Kuk; Won, Joong-sun; Kim, Sang Wan; Kim, Ki Dong; Ryu, Joo Hyung; Yoo, Hong Rhyong.
2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. 2010. p. 4588-4591 5651841.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Integration of InSAR and GIS for an estimation of ground subsidence susceptibility
AU - Choi, Jong Kuk
AU - Won, Joong-sun
AU - Kim, Sang Wan
AU - Kim, Ki Dong
AU - Ryu, Joo Hyung
AU - Yoo, Hong Rhyong
PY - 2010/12/1
Y1 - 2010/12/1
N2 - Ground subsidence susceptibility at a coal mine by integration of L-band SAR measurements and a subsidence hazard model incorporated in GIS was estimated. A subsidence hazard map was constructed using JERS-1 SAR data from the early 1990s and the subsidence hazard model. A certainty factor analysis was employed for estimating the relative weights of four control factors influencing coal mine subsidence. The relative weight of each factor was then integrated to generate a subsidence hazard index (SHI) by a fuzzy combination operator. The hazard map was validated by comparison with subsidence observed by 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 an accuracy of about 72.5%. These results showed that the map produced by integration of InSAR and GIS can be used to predict and monitor coal mine subsidence hazards, especially in remote regions.
AB - Ground subsidence susceptibility at a coal mine by integration of L-band SAR measurements and a subsidence hazard model incorporated in GIS was estimated. A subsidence hazard map was constructed using JERS-1 SAR data from the early 1990s and the subsidence hazard model. A certainty factor analysis was employed for estimating the relative weights of four control factors influencing coal mine subsidence. The relative weight of each factor was then integrated to generate a subsidence hazard index (SHI) by a fuzzy combination operator. The hazard map was validated by comparison with subsidence observed by 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 an accuracy of about 72.5%. These results showed that the map produced by integration of InSAR and GIS can be used to predict and monitor coal mine subsidence hazards, especially in remote regions.
UR - http://www.scopus.com/inward/record.url?scp=78650890704&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650890704&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2010.5651841
DO - 10.1109/IGARSS.2010.5651841
M3 - Conference contribution
SN - 9781424495658
SN - 9781424495665
SP - 4588
EP - 4591
BT - 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
ER -