Integration of InSAR and GIS for an estimation of ground subsidence susceptibility

Title
Integration of InSAR and GIS for an estimation of ground subsidence susceptibility
Author(s)
Choi, J.-K.; Won, J.-S.; Kim, S.-W.; Kim, K.-D.; Ryu, J.-H.; Yoo, H.-R.
KIOST Author(s)
Choi, Jong Kuk(최종국)Ryu, Joo Hyung(유주형)
Publication Year
2010-07-25
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. © 2010 IEEE.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/28808
Bibliographic Citation
2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010, pp.4588 - 4591, 2010
Publisher
IEEE International Geoscience and Remote Sensing Symposium
Type
Conference
Language
English
Publisher
IEEE International Geoscience and Remote Sensing Symposium
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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