DOI: 10.5593/SGEM2015/B21/S10.137


S. Porzycka-Strzelczyk, H. Malik, J. Strzelczyk
Friday 18 September 2015 by Libadmin2015

References: 15th International Multidisciplinary Scientific GeoConference SGEM 2015, www.sgem.org, SGEM2015 Conference Proceedings, ISBN 978-619-7105-34-6 / ISSN 1314-2704, June 18-24, 2015, Book2 Vol. 1, 1075-1082 pp

Satellite radar interferometry methods like DINSAR (Differential Interferometry SAR) and PSInSAR (Permanent Interferometry SAR) are well known, powerful techniques for ground deformations monitoring. They can be used to study both natural and anthropogenic ground movements with high accuracy and very good spatial and temporal resolutions. However, possibilities of SAR interferometry application significantly decrease when the analysis is performed for non-urban areas like agricultural fields and forests. For such regions high decorrelation of radar signal is characteristic. Nonetheless, even for such areas it is possible to distinguish time periods for which the signal decorrelation is lower. Knowledge about temporal changes in signal correlation can be used for optimal planning of SAR-based ground deformations monitoring within rural areas. The information about surface stability are crucial for spatial planning. Possibilities and constrains of ground deformations monitoring within rural areas were tested for selected regions of Upper Silesian Coal Basin (South Poland). Due to intensive coal exploitation this region is particularly vulnerable to the occurrence of subsidence phenomenon. The ground deformations very often occur within agricultural and forested fields. In the described work the analysis of ground deformations was performed using TerraSAR-X data acquired in the StripMap mode. All SAR images were processed using DInSAR technique. The DInSAR analysis was done for different temporal baselines (from several days to months). The obtained results were used to define the most appropriate time for radar interferometry analysis for studied region.

Keywords: satellite radar interferometry, ground deformations, rural areas