期刊
EARTH SURFACE PROCESSES AND LANDFORMS
卷 34, 期 11, 页码 1562-1574出版社
WILEY
DOI: 10.1002/esp.1848
关键词
interferometry; subsidence; evaporites
资金
- Spanish Ministry of Science and Education [AGL2006-01283]
- Aragon Government
- FEDER and Spanish Ministry of Science and Education [CGL2007-60766]
- European Space Agency [ID C1P-3462]
Differential Interferometric Synthetic Aperture Radar (DInSAR) has been applied to detect and measure ground deformation in a stretch of the Ebro River valley (Spain) excavated in salt-bearing evaporites. The capability of the Small Baseline Subset (SBAS) DInSAR technique to detect ground displacement is analyzed comparing the DInSAR results with the available geomorphological information. The deformation map derived from 27 European Remote Sensing (ERS) satellite images covering more than five years provides sub-centimeter displacement measurements in zones coinciding with known active sinkholes and landslides. Moreover the map provides the first account of mining subsidence in the area. The measured deformation rates reach 1.68 cm/y for the sinkholes, 0.80 cm/y for the landslides and 1.45 cm/y for the area affected by mining subsidence. The SBAS DInSAR technique provided deformation measurements in a small proportion (5-10%) of the known active sinkholes and landslides. This limitation is mainly due to the lack of coherence in agricultural areas, the spatial resolution of the deformation map (pixel size of 90 m), and the parallelism between the ERS satellite line of sight and the linear escarpment on which most of the landslides occur. Despite this, the interferometric technique provides valuable data that complement traditional geomorphological studies including the quantification of the deformation phenomena, the identification of mining subsidence otherwise only recognizable by geodetic methods, and the detection of creep deformation which might correspond to premonitory indicators of catastrophic sinkholes and landslides capable of causing the loss of lives. Detailed DInSAR studies combined with field data would be required to improve the analysis of each deformation area. Copyright (C) 2009 John Wiley & Sons, Ltd.
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