Special Issue "UAV-Based Photogrammetry and Measurements for Monitoring Natural Hazards and as a Risk Reduction Measure"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: 31 May 2021.

Special Issue Editors

Dr. Vassilis Marinos
Guest Editor
Laboratory of Engineering Geology and Hydrogeology, School of Geology, Aristotle University of Thessaloniki (AUTH), 546124 Thessaloniki, Greece
Interests: Natural hazards; landslides; rockfalls; UAVs; LiDAR; rock mass classification; tunnels; weak rocks
Special Issues and Collections in MDPI journals
Dr. Emanuela De Beni
Guest Editor
Istituto Nazionale Di Geofisica E Vulcanologia, Osservatorio Etneo, Italy
Interests: Volcano monitoring; UAVs; lava-flow mapping; database management; lava volume estimation; DEM; SfM technique; photogrammetry

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicles (UAVs) have developed into powerful tools for natural phenomena illustration, mapping, and monitoring, such as volcano eruptive crises, rockfalls and landslides, floods, earthquakes, coast erosion, and fire propagation. The combination of increasingly efficient platforms and a heterogeneous range of sensors increases acquisition productivity, enlarges the field of application, and significantly reduces the operating costs and hazards for the operator. Moreover, the use of UAVs is irreplaceable for those who must furnish stakeholders with the right information to manage a natural hazard emergency. The strengths of UAVs are speed of the mission planning, repeatability of the mission to ensure homogenization of the products, low cost, and, last but not least, operator safety. The use of non-military UAVs varies from photogrammetric mapping, updating topography after ground movements such as landslides, settlements, rock block rotation or sliding, 3D jointed rock mass modeling, object-based characterization, and thermal measurements to the sampling of gas and ash. UAV application allows us to obtain unique and novel ultra-detailed datasets that can be used to better understand the natural process, support hazard assessments, and reduce risk when monitoring a natural hazard process.

This Special Issue aims to collect the contributions of researchers and technicians who would like to show how UAVs have helped and supported them in dealing with scientific data when faced with emergency and hazard assessments.

Dr. Vassilis Marinos
Dr. Emanuela de Beni
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 2200 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.


  • UAVs
  • monitoring
  • remote measurements
  • natural hazard and risk assessment
  • photogrammetry
  • SfM technique
  • landslide
  • rockfall

Published Papers

This special issue is now open for submission.
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