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Remote Sensing of Extreme Sea Levels and Coastal Flooding: New...
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Remote Sensing of Extreme Sea Levels and Coastal Flooding: New Challenges and Future Outlook

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: closed (30 September 2023) | Viewed by 3780

Special Issue Editor

Prof. Dr. Donglian Sun

E-Mail Website
Guest Editor
Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USA
Interests: remote sensing natural hazards; surface and atmosphere information
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The journal Remote Sensing (IF: 5.349, ISSN: 2072-4292) is running a Special Issue entitled “Remote Sensing of Extreme Sea Levels and Coastal Flooding: New Challenges and Future Outlook”. As Guest Editors for this issue, we think you could make an excellent contribution based on your expertise.

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. Recently, more and more people are moving to coastal areas. With climate change, stronger tropical cyclones/hurricanes, and sea level rise, coastal areas are especially vulnerable to flooding.

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 coastal flooding from remote sensing. Your contribution is highly welcome!

We would like to invite you to contribute your recent research outputs to this Special Issue.

Kind regards,
Prof. Dr. Donglian Sun
Guest Editor

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
  • coastal flooding
  • remote sensing
  • mapping
  • monitoring
  • forecasting

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Published Papers (1 paper)

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15 pages, 14420 KiB  
Technical Note
High Resolution 3D Mapping of Hurricane Flooding from Moderate-Resolution Operational Satellites
by Sanmei Li, Mitchell Goldberg, Satya Kalluri, Daniel T. Lindsey, Bill Sjoberg, Lihang Zhou, Sean Helfrich, David Green, David Borges, Tianshu Yang and Donglian Sun
Remote Sens. 2022, 14(21), 5445; https://doi.org/10.3390/rs14215445 - 29 Oct 2022
Cited by 8 | Viewed by 3237
Abstract
Floods are often associated with hurricanes making landfall. When tropical cyclones/hurricanes make landfall, they are usually accompanied by heavy rainfall and storm surges that inundate coastal areas. The worst natural disaster in the United States, in terms of loss of life and property [...] Read more.
Floods are often associated with hurricanes making landfall. When tropical cyclones/hurricanes make landfall, they are usually accompanied by heavy rainfall and storm surges that inundate coastal areas. The worst natural disaster in the United States, in terms of loss of life and property damage, was caused by hurricane storm surges and their associated coastal flooding. To monitor coastal flooding in the areas affected by hurricanes, we used data from sensors aboard the operational Polar-orbiting and Geostationary Operational Environmental Satellites. This study aims to apply a downscaling model to recent severe coastal flooding events caused by hurricanes. To demonstrate how high-resolution 3D flood mapping can be made from moderate-resolution operational satellite observations, the downscaling model was applied to the catastrophic coastal flooding in Florida due to Hurricane Ian and in New Orleans due to Hurricanes Ida and Laura. The floodwater fraction data derived from the SNPP/NOAA-20 VIIRS (Visible Infrared Imaging Radiometer Suite) observations at the original 375 m resolution were input into the downscaling model to obtain 3D flooding information at 30 m resolution, including flooding extent, water surface level and water depth. Compared to a 2D flood extent map at the VIIRS’ original 375 m resolution, the downscaled 30 m floodwater depth maps, even when shown as 2D images, can provide more details about floodwater distribution, while 3D visualizations can demonstrate floodwater depth more clearly in relative to the terrain and provide a more direct perception of the inundation situations caused by hurricanes. The use of 3D visualization can help users clearly see floodwaters occurring over various types of terrain conditions, thus identifying a hazardous flood from non-hazardous flood types. Furthermore, 3D maps displaying floodwater depth may provide additional information for rescue efforts and damage assessments. The downscaling model can help enhance the capabilities of moderate-to-coarse resolution sensors, such as those used in operational weather satellites, flood detection and monitoring. Full article
(This article belongs to the Special Issue Remote Sensing of Extreme Sea Levels and Coastal Flooding: New Challenges and Future Outlook)
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