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Drones for Natural Hazards

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

Deadline for manuscript submissions: 10 August 2024 | Viewed by 276

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
Department of Civil and Environmental Engineering, Politecnico di Milano, P.zza Leonardo da Vinci, 32, Building 3, 20133 Milano, Italy
Interests: disaster; landslides; remote sensing; UAV; photogrammetry; disaster; monitoring; mapping; geospatial artificial intelligence; open science
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Architecture, Built Environment and Construction Engineering (ABC), Politecnico di Milano, Via Ponzio 31, 20133 Milan, Italy
Interests: photogrammetry; laser scanning; automation; 3D modelling; monitoring; computer vision
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Politecnico di Milano, P.zza Leonardo da Vinci, 32, Building 3, 20133 Milano, Italy
Interests: geospatial web; geodata science; citizen science; open science; open data; open geospatial software; geospatial artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, unmanned aerial vehicles (UAVs) have undergone incredible technological development and, at the same time, developed an even wider application range. Consecutively, systems that offer high-resolution/-quality data products acquired in a non-invasive and remote manner are very widely adopted in the disaster risk management cycle—preparedness, response, recovery, and mitigation. Scholars and professionals alike are implementing and continue to develop applications of UAVs and intelligent swarms for a variety of tasks ranging from hazard mapping and monitoring to more operational ones such as emergency response and search and rescue.

In addition, UAV derived high resolutions datasets from passive or active sensors, are great assets for improving and validating spaceborne applications in the disaster domain.

Furthermore, the data products from such aerial systems are easy to implement with geographic information systems and combined with geospatial artificial intelligence are further advancing the progress and develop the scientific research, and decision-making processes.

Finally, the availability of consumer grade UAVs at affordable price is a main driving factor for adopting citizen science contribution to the risk-related activities.

We are pleased to invite you to submit manuscripts to the MDPI journal Drones for our Special Issue “Drones for Natural Hazards”. Articles should be related to but not limited by the considered topics:

  • UAV photogrammetry and remote sensing
  • Change detection
  • Emergency response
  • RTK/PPK- and GCP- based orientation and processing methods
  • Novel cloud processing services
  • New approaches for hazard monitoring and mapping
  • UAV Citizen science through collaborative approaches and platforms
  • Integration and validation and of satellite-based outputs through UAV-based observations

You may choose our Joint Special Issue in Drones.

Dr. Vasil Yordanov
Dr. Luigi Barazzetti
Prof. Dr. Maria Antonia Brovelli
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

  • UAV
  • drones
  • hazards
  • mapping
  • geographic information science
  • remote sensing
  • landslides
  • floods
  • wildfires
  • volcanoes
  • disasters
  • relief

Published Papers

This special issue is now open for submission.
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