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Advances in Earth Observation to Improve Flood Disaster Monitoring and Management (Second Edition)

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 88

Special Issue Editors


E-Mail Website
Guest Editor
Institute of Methodologies for Environmental Analysis, National Research Council (CNR-IMAA), 85050 Tito Scalo, Italy
Interests: satellite data management and processing algorithms; optical remote sensing for natural and anthropic risk
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Methodologies for Environmental Analysis, National Research Council (CNR-IMAA), 85050 Tito Scalo, Italy
Interests: satellite data processing; satellite methods for environmental and anthropic risks investigation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
German Remote Sensing Data Center, German Aerospace Center (DLR), Muenchener Str. 20, 82234 Wessling, Germany
Interests: earth observation; sar and optical imagery; natural hazards; civil security; disaster response

Special Issue Information

Dear Colleagues,

In the context of increasingly larger and more disastrous flood events, Earth observation plays a role of primary importance in the relative risk monitoring and management. During the emergency phases related to the occurrence of such events, the authorities’ decision-making process inevitably occurs via the analysis of information retrieved by main optical and microwave satellite sensors. Their ability to observe large areas in a short time allows for prompt and effective action being taken to both safe human lives and reduce the damages to properties and the environment. Remote sensing technologies and techniques have greatly improved in recent years, providing increasingly accurate and efficient information.

This Special Issue will accept studies regarding advances in Earth observation for flood detection, monitoring, and management via satellite data acquired from different optical and microwave sensors. Works using advanced satellite based techniques, in situ modeling methodologies, and machine learning are welcomed.

Dr. Valeria Satriano
Dr. Mariapia Faruolo
Dr. Sandro Martinis
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

  • flood disaster
  • flood monitoring and management
  • remote sensing
  • modelling
  • machine learning

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Published Papers

This special issue is now open for submission.
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