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Monitoring and Evaluation of Geological Disaster Using Remote Sensing Technology

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 March 2024) | Viewed by 132

Special Issue Editor


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Guest Editor
Machine Intelligence and Slope Stability Laboratory, Department of Geosciences, University of Padova, Padua, Italy
Interests: natural hazards; landslide risk; remote sensing; GIS; AI

Special Issue Information

Dear Colleagues,

Geological disasters exert a profound influence on both human society and natural ecosystems, necessitating vigilant monitoring to mitigate their adverse impacts. Traditional methods involving human intervention are both financially and logistically prohibitive, not to mention fraught with substantial risk. Fortunately, there has been a growing reliance on remote sensing technologies as a safer and more cost-effective solution to these challenges. In recent decades, the theories governing various remote sensing technologies have matured significantly, enhancing the feasibility of utilizing these tools for geological disaster monitoring. These advancements have led to an improvement in the accuracy and precision of monitoring efforts, fostering a more data-driven approach to disaster risk assessment and management. Despite the progress in this field, several challenges persist in leveraging remote sensing technologies for geological disaster detection. One primary issue is the limitations associated with spatial and temporal resolutions of the technologies, which can constrain the monitoring of small-scale events or rapid changes effectively. Additionally, integrating data from diverse sources to enhance predictive modeling presents a significant hurdle, primarily due to compatibility and data harmonization issues.

In light of these developments and persistent challenges, we are seeking submissions for a special issue that presents innovative research articles focused on advancing the current capabilities of remote sensing technologies in monitoring and evaluating geological disasters. The contents of this special issue include but are not limited to various remote sensing techniques to study landslides, earthquakes, debris flows, land subsidence, ground subsidence, volcanic activity and other geological hazards. We look forward to your submissions.

Dr. Sansar Meena
Guest Editor

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

  • natural hazards
  • geological disaster
  • InSAR
  • GIS
  • landslide risk
  • earthquake
  • deformation monitoring

Published Papers

There is no accepted submissions to this special issue at this moment.
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