Special Issue "Remote Sensing Images Processing for Disasters Response"

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

Deadline for manuscript submissions: 30 June 2020.

Special Issue Editors

Prof. Piero Boccardo
E-Mail Website
Guest Editor
DIST - Politecnico di Torino, Viale Mattioli 39, 10125, Torino, Italy
Interests: emergency management; mobility applications; geomatics for energy; remote sensing and climate change
Dr. Andrea Ajmar
E-Mail Website
Guest Editor
ITHACA, Via Pier Carlo Boggio 61, 10138, Torino, Italy
Interests: emergency mapping; spatial data infrastructure; feature extraction; data quality; mobility services

Special Issue Information

Dear Colleagues,

Remote sensing plays a major role during the disaster response phase, providing “emergency services and public assistance during or immediately after a disaster to save lives, reduce health impacts, ensure public safety and meet the basic subsistence needs of the people affected’’ (UNISDR 2009). This is mainly due to the large and timely availability of different types of remotely sensed data – as well as geospatial information acquired in the field – which can be exploited in the different phases of the disaster management cycle, and are particularly beneficial in the response phase. Several operational mechanisms provide post-event analysis, in the form of data and ready-to-print maps, within hours, from image availability. Satellites (both active and passive sensors) are the main acquisition platform, but aerial (manned and unmanned) platforms are also used to overcome some of the satellite platforms limitations.

The rapid release of data and information is one of the most critical aspects and therefore all the emergency workflow steps should be optimized against this factor. Automatic and semi-automatic extraction processes by means of different techniques (e.g., simple thresholding, indices, machine learning, and deep learning) for event delineation and damage level estimation, should be foreseen to reduce the production and the human interpretation (based on CAPI) times. The integration of unstructured information (i.e., those derived by traditional media and social media) may be useful to increase automatic processes accuracy. Adequately organized and structured collaborative mapping initiatives may provide relevant resources to process and analyze large volumes of data. The perspective of the enlarged stakeholder community, including final users (e.g., civil protection authorities, international organizations), service providers (e.g., Copernicus Emergency Management Service, International Charter Space and Major Disasters, UNOSAT), and relevant international working groups (e.g., the International Working Group on Satellite-Based Emergency Mapping), is considered extremely relevant and to be taken into consideration while developing and proposing new solutions.

This Special Issue will promote and disseminate interdisciplinary research on how to maximize the efficiency of remote sensing techniques in disaster response phases, with the aim of bridging current gaps in respect to the requirements set by the responders.

This Special Issue welcomes contributions from the remote sensing community, in the form of pure and applied research, aimed at providing solutions supporting any step of a disaster response workflow. A non-exhaustive list of analysis steps based on remote sensing techniques includes the following:

  1. Data tasking optimization
  2. Procedure standardization and technical specifications
  3. Effective and efficient access to available reference data
  4. Post-event data acquisition
  5. Imagery pre-processing
  6. Data integration and fusion
  7. Innovative procedures for feature extraction
  8. Emergency crowdmapping
  9. Data publication and dissemination
  10. Best practices and operational examples

Prof. Piero Boccardo
Dr. Andrea Ajmar
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 1800 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

  • Emergency response
  • remote sensing
  • automatic processing
  • deep learning
  • geomatics
  • spatial information science
  • technical specifications and best practices
  • data acquisition and fusion

Published Papers

This special issue is now open for submission.
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