Remote Monitoring of Ground Motion Hazards in High Mountain Terrain Using InSAR: A Case Study of the Lake Sarez Area, Tajikistan

Grebby, Stephen; Sowter, Andrew; Gee, David; Athab, Ahmed; De la Barreda-Bautista, Betsabé; Girindran, Renoy; Marsh, Stuart

Abstract

High mountain terrains, with steep slopes and deep valleys, are generally challenging areas to monitor using satellite earth observation techniques since the terrain creates perspective distortions and differences in illumination that can occlude or obfuscate a significant proportion of the land. This is particularly prominent in synthetic aperture radar (SAR) data, where the oblique geometry can result in large areas of layover and shadow, which must be excluded from any analysis. Interferometric SAR (InSAR) is an established technique for monitoring ground motion and this study assesses its potential for geohazard monitoring in mountainous areas using Lake Sarez in Tajikistan as a case study, applying SAR data from the Sentinel-1 mission. It is shown that, although the effect of layover and shadow is severe, a judicious combination of ascending and descending satellite passes is still capable of surveying 88% of the land surface. It is also demonstrated that, through the use of an advanced InSAR technique (the APSIS™ Intermittent Small Baseline Subset technique), near-complete coverage of ground motion measurements is possible, despite intermittent snow cover. Moreover, this is achieved without the need for ground control, which can be hazardous to establish in such areas. It is concluded that a combination of satellite passes and advanced InSAR techniques greatly facilitates the remote monitoring of ground motion hazards in high mountain areas.

Citation

Grebby, S., Sowter, A., Gee, D., Athab, A., De la Barreda-Bautista, B., Girindran, R., & Marsh, S. (2021). Remote Monitoring of Ground Motion Hazards in High Mountain Terrain Using InSAR: A Case Study of the Lake Sarez Area, Tajikistan. Applied Sciences, 11(18), Article 8738. https://doi.org/10.3390/app11188738

• Journal Article Type: Article
• Acceptance Date: Sep 17, 2021
• Online Publication Date: Sep 19, 2021
• Publication Date: Sep 1, 2021
• Deposit Date: Sep 20, 2021
• Publicly Available Date: Sep 20, 2021
• Journal: Applied Sciences (Switzerland)
• Electronic ISSN: 2076-3417
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 18
• Article Number: 8738
• DOI: https://doi.org/10.3390/app11188738
• Keywords: Fluid Flow and Transfer Processes; Computer Science Applications; Process Chemistry and Technology; General Engineering; Instrumentation; General Materials Science
• Public URL: https://nottingham-repository.worktribe.com/output/6292557
• Publisher URL: https://www.mdpi.com/2076-3417/11/18/8738