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A methodology to detect and characterize uplift phenomena in urban areas using Sentinel-1 data

Boni, Roberta; Bosino, Alberto; Meisina, Claudia; Novellino, Alessandro; Bateson, Luke; McCormack, Harry. 2018 A methodology to detect and characterize uplift phenomena in urban areas using Sentinel-1 data. Remote Sensing, 10 (4), 607. https://doi.org/10.3390/rs10040607

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Abstract/Summary

This paper presents a methodology to exploit the Persistent Scatterer Interferometry (PSI) time series acquired by Sentinel-1 sensors for the detection and characterization of uplift phenomena in urban areas. The methodology has been applied to the Tower Hamlets Council area of London (United Kingdom) using Sentinel-1 data covering the period 2015–2017. The test area is a representative high-urbanized site affected by geohazards due to natural processes such as compaction of recent deposits, and also anthropogenic causes due to groundwater management and engineering works. The methodology has allowed the detection and characterization of a 5 km2 area recording average uplift rates of 7 mm/year and a maximum rate of 18 mm/year in the period May 2015–March 2017. Furthermore, the analysis of the Sentinel-1 time series highlights that starting from August 2016 uplift rates began to decrease. A comparison between the uplift rates and urban developments as well as geological, geotechnical, and hydrogeological factors suggests that the ground displacements occur in a particular geological context and are mainly attributed to the swelling of clayey soils. The detected uplift could be attributed to a transient effect of the groundwater rebound after completion of dewatering works for the recent underground constructions.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.3390/rs10040607
ISSN: 20724292
NORA Subject Terms: Earth Sciences
Space Sciences
Date made live: 27 Apr 2018 13:24 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/519904

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