Special Issue "The Role of Earth Observation Technologies in Flood Mapping and Forecasting"

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 November 2021.

Special Issue Editors

Dr. Donglian Sun
E-Mail Website
Guest Editor
College of Science, George Mason University, Fairfax, VA, USA
Interests: remote sensing natural hazards; surface and atmosphere information
Special Issues and Collections in MDPI journals
Dr. Huan Wu
E-Mail Website
Guest Editor
Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740-3823, USA
Interests: hydrometeorology; hydrological modelling; flood; land surface modelling

Special Issue Information

Dear Colleagues,

Floods are the most frequent and widespread natural hazard, affecting about, on average, 80 million people per year all over the world, and causing more fatalities and property damages than other natural hazards. Every year, flood disasters cause huge economic losses and social disruption around the world.

Mapping and forecasting flood extent are invaluable for damage assessment and relief efforts. With the increasing satellite remote sensing observations, there has been a large increase in the capability to map and forecast flood information with high spatial and temporal resolutions. Traditional optical sensors and recent synthetic aperture radar (SAR) data can now be available. Emergency responses are potentially benefitting most from this huge amount of available data, because they require timely and frequent information about areas affected by floods.

Optical sensor and SAR systems can provide powerful tools to monitor floods with their advantages of the short revisit time of the present and future operational environmental satellites and the very high spatial resolution of the new generation of sensors like SAR.

This Special Issue will focus on newly developed methods for the mapping and forecasting of floodwater using remote sensing data.

This Special Issue aims to collect a wide spectrum of papers illustrating the state of the art and the most recent developments in the field of mapping and forecasting floodwaters from space. Your contribution is highly welcome!

Dr. Donglian Sun
Dr. Huan Wu
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 2400 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
  • mapping
  • forecasting
  • remote sensing

Published Papers

This special issue is now open for submission.
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