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InSAR for Earth Observation

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 73756

Special Issue Editors


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Guest Editor
Cooperative Institute for Research in Environmental Sciences (CIRES) and Department of Geological Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
Interests: satellite remote sensing; SAR interferometry; InSAR and GNSS data analysis; optical data analysis; natural and anthropogenic hazard characterization and modeling
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E-Mail Website
Guest Editor
Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI 48109, USA
Interests: earthquake and interseismic deformation; evolution of crustal temperatures in volcanic regions; InSAR time series; time-dependent strain rate estimation from GNSS data; cycling of seismogenic stresses

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Guest Editor
European Center for Geodynamics and Seismology, Rue Josy Welter, 19, L-7256 Walferdange, Luxembourg
Interests: SAR; SAR interferometry; InSAR; InSAR time series; GNSS, instrumentation; crustal deformations; volcanology; tectonics

Special Issue Information

Dear Colleagues,

The past twenty-five years have seen InSAR progress, from its initial development as a new and pioneering remote sensing tool for measuring Earth topography and surface deformation, to a mature technology that now provides crucial constraints on a broad and diverse range of Earth science processes. While its extensive use for mapping ground deformation with high spatial resolution and sub-centimeter precision over large areas makes it ideal for studying natural and anthropogenic hazards, such as landslides, subsidence, volcanic unrest, and earthquake processes, it also has had important impacts in environmental and land surface studies. These latter studies include, but are not limited to, applications in the fields of glaciology (e.g., ice dynamics), oceanography (e.g., wave dynamics), hydrology (e.g., flood inundation), and geomorphology (e.g., sediment erosion and deposition).

For this Special Issue, we invite contributions that illuminate the advances in SAR technology, processing and analysis, including modelling studies that have contributed to the expansion in InSAR applications for Earth observation and study. The primary goal of the Special Issue is to present overviews of both the state-of-the-art of SAR and the next generation of applications across the broad range of InSAR Earth science applications. Papers that address the expanding depth of SAR databases, the increase in resolution (both in time and space), and the growth of the number of SAR sensors orbiting the Earth are of particular interest. We welcome submissions from all areas of Earth sciences that might include, but are not limited to, techniques that take advantage of the recent and upcoming SAR satellite acquisitions, develop advanced methods for improving ionospheric and/or atmospheric artefact corrections, present innovative methods for unwrapping, investigate specific methods such as multichromatic interferometry, or investigate methods for assimilating and optimizing the associated large quantities of data and quantifying the associated error, or describe algorithms for integrating various types of satellite observations.

Dr. Kristy Tiampo
Dr. Eric Hetland
Dr. Nicolas D'Oreye
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

  • SAR
  • InSAR processing
  • remote sensing
  • environmental science
  • hydrology
  • tectonics
  • cryosphere
  • glaciology
  • anthropogenic and natural hazards
  • land surface change
  • ocean surface processes

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Published Papers (12 papers)

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29 pages, 13236 KiB  
Review
The role of Interferometric Synthetic Aperture Radar in Detecting, Mapping, Monitoring, and Modelling the Volcanic Activity of Piton de la Fournaise, La Réunion: A Review
Remote Sens. 2020, 12(6), 1019; https://doi.org/10.3390/rs12061019 - 22 Mar 2020
30 pages, 11165 KiB  
Article
Assessment of Mitigation Strategies for Tropospheric Phase Contributions to InSAR Time-Series Datasets over Two Nicaraguan Volcanoes
Remote Sens. 2020, 12(5), 782; https://doi.org/10.3390/rs12050782 - 1 Mar 2020
20 pages, 37294 KiB  
Article
Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq
Remote Sens. 2019, 11(22), 2632; https://doi.org/10.3390/rs11222632 - 11 Nov 2019
26 pages, 23984 KiB  
Article
Combining InSAR and GNSS to Track Magma Transport at Basaltic Volcanoes
Remote Sens. 2019, 11(19), 2236; https://doi.org/10.3390/rs11192236 - 25 Sep 2019
16 pages, 9039 KiB  
Article
Source Characteristics of the 28 September 2018 Mw 7.4 Palu, Indonesia, Earthquake Derived from the Advanced Land Observation Satellite 2 Data
Remote Sens. 2019, 11(17), 1999; https://doi.org/10.3390/rs11171999 - 24 Aug 2019
28 pages, 2223 KiB  
Article
Spatio–Temporal Analysis of Deformation at San Emidio Geothermal Field, Nevada, USA Between 1992 and 2010
Remote Sens. 2019, 11(16), 1935; https://doi.org/10.3390/rs11161935 - 19 Aug 2019
17 pages, 4790 KiB  
Article
Ground Deformation Analysis of Bolvadin (W. Turkey) by Means of Multi-Temporal InSAR Techniques and Sentinel-1 Data
Remote Sens. 2019, 11(9), 1069; https://doi.org/10.3390/rs11091069 - 6 May 2019
21 pages, 29399 KiB  
Article
Estimation of Tropospheric and Ionospheric Delay in DInSAR Calculations: Case Study of Areas Showing (Natural and Induced) Seismic Activity
Remote Sens. 2019, 11(6), 621; https://doi.org/10.3390/rs11060621 - 14 Mar 2019
21 pages, 6405 KiB  
Article
Resolving Three-Dimensional Surface Motion with InSAR: Constraints from Multi-Geometry Data Fusion
Remote Sens. 2019, 11(3), 241; https://doi.org/10.3390/rs11030241 - 24 Jan 2019
19 pages, 6951 KiB  
Article
Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)
Remote Sens. 2018, 10(11), 1781; https://doi.org/10.3390/rs10111781 - 10 Nov 2018
14 pages, 5971 KiB  
Article
Bias Removal for Goldstein Filtering Power Using a Second Kind Statistical Coherence Estimator
Remote Sens. 2018, 10(10), 1559; https://doi.org/10.3390/rs10101559 - 28 Sep 2018
18 pages, 17272 KiB  
Article
Method Combining Probability Integration Model and a Small Baseline Subset for Time Series Monitoring of Mining Subsidence
Remote Sens. 2018, 10(9), 1444; https://doi.org/10.3390/rs10091444 - 10 Sep 2018
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