Paper
21 October 2014 Intermittent Small Baseline Subset (ISBAS) monitoring of land covers unfavourable for conventional C-band InSAR: proof-of-concept for peatland environments in North Wales, UK
Francesca Cigna, Andrew Sowter, Colm J. Jordan, Barry G. Rawlins
Author Affiliations +
Proceedings Volume 9243, SAR Image Analysis, Modeling, and Techniques XIV; 924305 (2014) https://doi.org/10.1117/12.2067604
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands
Abstract
This paper provides a proof-of-concept for the use of the new Intermittent Small Baseline Subset (ISBAS) approach to study ground elevation changes in areas of peat and organic soils in north Wales, which are generally, unfavourable for conventional C-band interferometric applications. A stack of 53 ERS-1/2 C-band SAR scenes acquired between 1993 and 2000 in descending mode was processed with both the standard low-pass SBAS method and ISBAS. The latter revealed exceptional improvements in the coverage of ground motion solutions with respect to the standard approach. The number of identified coherent and intermittently coherent pixels increased by a factor of 26 with respect to the SBAS solution, and extended the coverage of results across unfavourable land covers, particularly for coniferous woodland, bog, acid grassland and heather. The greatest increase was achieved over coniferous woodland, which showed ISBAS/SBAS pixel density ratios above 300. Despite the intermittent nature of the ISBAS solutions, ISBAS provided velocity standard errors generally below 1-1.5 mm/yr, thus preserving good quality of the estimated ground motion rates.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francesca Cigna, Andrew Sowter, Colm J. Jordan, and Barry G. Rawlins "Intermittent Small Baseline Subset (ISBAS) monitoring of land covers unfavourable for conventional C-band InSAR: proof-of-concept for peatland environments in North Wales, UK", Proc. SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, 924305 (21 October 2014); https://doi.org/10.1117/12.2067604
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Cited by 10 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Interferometric synthetic aperture radar

Error analysis

Motion estimation

Environmental monitoring

Interferometry

Soil science

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