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InSAR Monitoring of Slow Steady-State and Episodic Ground Surface Displacements

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 3942

Special Issue Editors


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Guest Editor
COMET, Department of Earth Sciences, University of Oxford, Oxofrd OX1 3AN, UK
Interests: radar interferometry; remote sensing; inverse problems; tectonics; permafrost

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Guest Editor
Schoool of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK
Interests: environment; precipitation; climate variability; InSAR; landslides; permafrost; landslide monitoring; remote sensing

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Guest Editor
Université de Lyon, UCBL, ENSL, CNRS, LGL-TPE, 69622 Villeurbanne, France
Interests: space geodesy and neotectonics

Special Issue Information

Dear Colleagues,

Until today, measuring slow ground deformations in mountainous areas with Synthetic Aperture Radar Interferometry (InSAR) has been challenging, in large part due to the sporadic nature of the available acquisitions. The recent launch of the new generation of SAR satellites (e.g ESA’s Sentinel-1, JAXA’s ALOS-2) brings a new paradigm in Earth Science using space-based geodesy to measure at larger scale, with better temporal resolution, and in both ascending and descending view angles subtle ground movements in remote, vast and largely inaccessible regions of the Earth. This wealth of data has resulted in enormous scientific opportunities and challenges with applications to a variety of processes affecting the surface of the Earth and the measured phase delays. These domains of applications include seismic and aseismic fault processes, an-elastic deformation of the crust, volcanoes, landslides, groundwater depletion, soil moisture changes, isostatic adjustment due to lake level changes, permafrost active layer dynamics, hydrology and anthropogenic activities. 

In this Special Issue, we solicit contributions detailing methods and strategies that address these opportunities and challenges or exploit SAR data to better understand how lithospheric and surface processes reshape the Earth’s surface and create natural changes and hazards. We are inviting the submission of articles focusing on: 

(1) The development of new processing techniques that take advantage of the wealth of SAR data, leading to the generation of large-scale LOS or 3-dimensional velocity maps, or time-dependent surface displacement maps.

(2) The discussion of InSAR processing challenges, such as source separation, atmospheric phase delay corrections, or time series biases due to soil moisture changes, vegetation growth, snow, and abrupt changes of ground properties.  

(3) The observations and measurements with InSAR of slow (few mm/yr) steady-state surface displacements or episodic changes of ground surface displacements. 

Dr. Simon Daout
Dr. Benedetta Dini
Dr. Cécile Lasserre
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • InSAR
  • slow and episodic ground motion
  • source separation
  • tectonic
  • landslides
  • permafrost

Published Papers (1 paper)

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Research

18 pages, 7869 KiB  
Article
Analysis of the Deformation Behavior and Sinkhole Risk in Kerdabad, Iran Using the PS-InSAR Method
by Mahdi Khoshlahjeh Azar, Amir Hamedpour, Yasser Maghsoudi and Daniele Perissin
Remote Sens. 2021, 13(14), 2696; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13142696 - 08 Jul 2021
Cited by 15 | Viewed by 3118
Abstract
The unexpected collapse of land surface due to subsidence is one of the most significant geohazards that threatens human life and infrastructure. Kabudrahang and Famenin are two Iranian plains experiencing several sinkholes due to the characteristics of the underground soil layers and extreme [...] Read more.
The unexpected collapse of land surface due to subsidence is one of the most significant geohazards that threatens human life and infrastructure. Kabudrahang and Famenin are two Iranian plains experiencing several sinkholes due to the characteristics of the underground soil layers and extreme groundwater depletion. In this study, space-based Synthetic Aperture Radar images are used to investigate the ground displacement behavior to examine the feasibility of Sentinel-1 data in detecting precursory deformation proceeding before the sinkhole formation. The selected sinkhole occurred in August 2018 in the vicinity of Kerdabad village in Hamedan province with a 40 m diameter and depth of ~40 m. Time series of the European constellation Sentinel-1 data, spanning from January 2015 to August 2018, is analyzed, and the results revealed a 3 cm annual subsidence (–3 cm/year) along with the line-of-sight direction. Time-series analysis demonstrated that the driving mechanism of the sinkhole formation had a gradual process. Displacement of persistent scatterers (PSs) near the cave area had an acceleration by approaching the sinkhole formation date. In contrast, other areas that are far from the cave area show linear subsidence behavior over time. Additionally, the one-kilometer deformation profile over the cave area indicates a high subsidence rate precisely at the location where the sinkhole was formed later on 20 August 2018. Full article
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