Special Issue "Mapping and Monitoring of Geohazards with Remote Sensing Technologies"

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

Deadline for manuscript submissions: 1 March 2022.

Special Issue Editors

Prof. Dr. Konstantinos G. Nikolakopoulos
E-Mail Website1 Website2
Guest Editor
GIS & Remote Sensing Laboratory, Division of Applied Geology and Geophysics, University of Patras, Patra, Greece
Interests: GIS; remote sensing; photogrammetery; UAV, USV and GNSS appilcations in geology-geomorphology
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Dr. Constantinos Loupasakis
E-Mail Website
Guest Editor
Department of Geological Sciences, School of Mining and Metallurgical Engineering, National Technical University of Athens, Zographou Campus, GR-157 80 Athens, Greece
Interests: geohazard study, monitoring and modeling; computational geotechnical engineering; remote sensing data interpretation
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Dr. Ioannis Papoutsis
E-Mail Website
Guest Editor
Institute of Astronomy, Astrophyiscs, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece
Interests: Earth Observation; synthetic aperture radar; SAR interferometry, Persistent Scatterer Interferometry, machine learning and information extraction, disaster management
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Special Issue Information

Dear Colleagues,

Earth observation (EO) techniques have proven to be reliable and accurate for monitoring land surface deformations occurring naturally (landslides, earthquakes, and volcanoes) or due to anthropogenic activities (ground water overexploitation, extraction of oil and gas).

In cases where mitigation methods have to be put into practice, the detailed mapping, characterization, monitoring and simulation of the geocatastrophic phenomena have to precede their design and implementation. EO techniques possess high potential and suitability as alternative, cost-efficient methods for the management of geohazards, and have been proven to be a valuable tool for verifying and validating the spatial extent and the evolution of the deformations.  

To this extent, in the current Special Issue, submissions are encouraged that cover innovative applications and case studies on the mapping and monitoring of all kinds of geohazards with remote sensing technologies. Submissions that make use of new tools and methodologies, including the use of data-driven machine learning methods, are encouraged. 

Prof. Dr. Konstantinos G. Nikolakopoulos
Dr. Constantinos Loupasakis
Dr. Ioannis Papoutsis
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. 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 2400 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

  • Geohazards
  • InSAR
  • Remote sensing
  • Photogrammetry
  • Unmanned aerial vehicles
  • GNSS
  • TLS
  • Persistent scatterer interferometry
  • Machine learning

Published Papers

This special issue is now open for submission.
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