Special Issue "Ground-Based, UAV, Airborne and Satellite SAR for Geosciences"

A special issue of Geomatics (ISSN 2673-7418).

Deadline for manuscript submissions: 30 September 2021.

Special Issue Editors

Dr. Francesca Cigna
E-Mail Website
Guest Editor
National Research Council (CNR), Institute of Atmospheric Sciences and Climate (ISAC), Via del Fosso del Cavaliere 100, 00133 Rome, Italy
Interests: remote sensing; Earth observation; InSAR; landslides; land subsidence; ground instability; landscape evolution; geophysical hazards; archaeology; cultural heritage
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Dr. João Catalão Fernandes
E-Mail Website
Guest Editor
Instituto D. Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
Interests: SAR; InSAR; GNSS; Earth deformation; multispectral images; machine learning; transfer learning
Dr. Bruce D. Chapman
E-Mail Website
Guest Editor
Jet Propulsion Laboratory, M/S 300-149, Pasadena, CA 91109, USA
Interests: radar; SAR; land-cover/ land-use change; site conservation; archaeology
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Dr. Jorge P. Galve
E-Mail Website
Guest Editor
Department of Geodynamics, University of Granada, Campus de Fuente Nueva S/N, Granada 18071, Spain
Interests: Natural Hazards; geomorphology; GIS; SAR interferometry
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Prof. Dr. Daniele Riccio
E-Mail Website
Guest Editor
Department of Electrical Engineering and Information Technology, Faculty of Engineering, University of Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
Interests: remote sensing; electromagnetic scattering; synthetic aperture radar; radar; microwave imaging
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The exploitation of Synthetic Aperture Radar (SAR) imaging is rising higher and higher on the agenda of researchers, professionals and stakeholders working in the field of geomatics, geodesy, surveying, Earth sciences, land management and monitoring.

Through their all-weather and day/night sensing capabilities, range of frequency bands, manifold spatial and temporal resolutions, like and cross polarizations, and looking modes and beams, SAR data can provide key geoinformation for a number of geoscience applications.

This Special Issue of Geomatics aims to gather research articles, reviews and short communications on all aspects of SAR for geosciences, including (but not limited to):

  • Sensor design, data calibration and validation, technology and platform development, including novel ground-based, UAV/drone and airborne setups, as well as spaceborne systems
  • Signal processing and advanced techniques for image analysis and enhancement, machine learning, deep learning and artificial intelligence, big data analytics, classification, segmentation, target detection and monitoring, data fusion, tomography, polarimetry
  • Cartography, surveying, geomorphological mapping, digital surface modeling through radargrammetry and Interferometric SAR (InSAR)
  • Land and environmental monitoring through change detection, offset tracking, Differential InSAR (DInSAR) and multi-interferogram approaches based on coherent, persistent and distributed scatterers (e.g. PS, SBAS, MT-InSAR, SqueeSAR), Multiple-Aperture Interferometry (MAI)
  • SAR applications for biophysical and geophysical parameters retrieval, meteorological applications, natural and anthropogenic hazards and risk mapping, urban and structural health monitoring, oceanography and maritime applications

Dr. Francesca Cigna
Dr. João Catalão
Dr. Bruce Chapman
Dr. Jorge P. Galve
Prof. Dr. Daniele Riccio
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 papers will be 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. Geomatics is an international peer-reviewed open access quarterly 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 1000 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.


  • microwave imaging
  • geodesy
  • digital elevation modeling
  • change detection
  • deformation
  • structural monitoring
  • land applications
  • retrieval

Published Papers (1 paper)

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Open AccessArticle
Monitoring and Mapping of Shallow Landslides in a Tropical Environment Using Persistent Scatterer Interferometry: A Case Study from the Western Ghats, India
Geomatics 2021, 1(1), 3-17; https://0-doi-org.brum.beds.ac.uk/10.3390/geomatics1010002 - 29 Dec 2020
Viewed by 539
Persistent Scatterer Interferometry (PSI) techniques are now well established and accepted for monitoring ground displacements. The presence of shallow-seated landslides, ubiquitous phenomena in the tropics, offers an opportunity to monitor and map these hazards using PSI at the regional scale. Thus, the Western [...] Read more.
Persistent Scatterer Interferometry (PSI) techniques are now well established and accepted for monitoring ground displacements. The presence of shallow-seated landslides, ubiquitous phenomena in the tropics, offers an opportunity to monitor and map these hazards using PSI at the regional scale. Thus, the Western Ghats of India, experiencing a tropical climate and in a topographically complex region of the world, provides an ideal study site to test the efficacy of landslide detection with PSI. The biggest challenge in using the PSI technique in tropical regions is the additional noise in data due to vegetation. In this study, we filtered these noises by utilizing the 95-percentile of the highest coherence data, which also reduced the redundancy of the PSI points. The study examined 12 landslides that occurred within one of the three temporal categories grouped as Group 1, Group 2, and Group 3, categorized in relation to PSI monitoring periods, which was also further classified into east- and west-facing landslides. The Synthetic Aperture Radar (SAR) data is in descending mode, and, therefore, the east-facing landslides are characterized by positive deformation velocity values, whereas the west-facing landslides have negative deformation values. Further, the landslide-prone areas, delineated using the conventional factor of safety (FS), were refined and mapped using PSI velocity values. The combination of PSI with the conventional FS approach helped to identify exclusive zones prone to landslides. The main aim of such an attempt is to identify critical areas in the unstable category in the map prepared using FS and prioritizing the mitigation measures, and to develop a road map for any developmental activities. The approach also helps to increase confidence in the susceptibility mapping and reduce false alarms. Full article
(This article belongs to the Special Issue Ground-Based, UAV, Airborne and Satellite SAR for Geosciences)
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