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Water
Special Issues
Remote Sensing for Flood Monitoring and Risk Assessment
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Remote Sensing for Flood Monitoring and Risk Assessment

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 4355

Special Issue Editors

Dr. Giorgio Boni

E-Mail Website
Guest Editor
Department of Civil, Chemical and Environmental Engineering, University of Genoa, 16145 Genoa, Italy
Interests: flash floods; flood forecast modelling; flood risk management; remote sensing applications in water-related risks; natural hazards exposure and vulnerability
Special Issues, Collections and Topics in MDPI journals
Dr. Silvia De Angeli

E-Mail Website
Guest Editor
Department of Civil, Chemical and Environmental Engineering, University of Genoa, 16145 Genoa, Italy
Interests: disaster risk reduction; natural hazards exposure and vulnerability; flood risk assessment; climate change mitigation and adaptation; multi-hazards risk assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

According to the International Disaster Database (EM-DAT), floods have been the most frequent type of disaster to occur over the past 20 years at a global scale, as well as being the most disruptive in terms of its influence on human livelihood, affecting more than two billion people in total. The growing impact of floods observed in recent decades can be related to climate change and socio-economic and land-use chage dynamics.

Remote sensing data are powerful information not only for near real-time flood hazard mapping and monitoring but also for post-event damage assessment and pre-event risk mapping. Although generally less detailed and accurate than in-situ surveys, remote sensing can provide cheaper information in terms of acquisition costs and allows for the capture of larger geographical areas, making this option very suitable in contexts with limited resources, such as developing countries.

This Special Issue aims to collect papers on current efforts to exploit the use of remote sensing data in all phases of the flood risk management cycle (i.e., preparedness, emergency management, response and recovery). The following list gives an overview of the topics we are looking for, but is by no means exhaustive:

  • Application of SAR-based techniques for flood mapping with special reference to the urban environment and/or densely vegetated areas,
  • Remote-sensing based methods for the identification of physical, demographic, and economic aspects of flood exposure and vulnerability,
  • Change-detection and other image processing techniques applied to remote-sensing for post-event flood damage assessment and recovery monitoring.

Applications using hyperspectral imagery are particularly of interest. Research papers or reviews with a special focus on developing countries or in data-poor contexts is also encouraged.

Prof. Dr. Giorgio Boni
Dr. Silvia De Angeli
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. Water 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 2600 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 monitoring and mapping
  • flood exposure and vulnerability
  • flood risk assessment
  • remote sensing
  • sar imagery
  • hyperspectral imagery
  • image processing
  • flood damage assessment
  • recovery monitoring
  • data-poor contexts

Published Papers (1 paper)

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Research

15 pages, 3103 KiB  
Article
Flood Hazard Mapping of Rivers in Snow- and Glacier-Fed Basins of Different Hydrological Regimes Using a Hydrodynamic Model under RCP Scenarios
by Huma Hayat, Muhammad Saifullah, Muhammad Ashraf, Shiyin Liu, Sher Muhammad, Romana Khan and Adnan Ahmad Tahir
Water 2021, 13(20), 2806; https://doi.org/10.3390/w13202806 - 9 Oct 2021
Cited by 1 | Viewed by 3093
Abstract
The global warming trends have accelerated snow and glacier melt in mountainous river basins, which has increased the probability of glacial outburst flooding. Recurrent flood events are a challenge for the developing economy of Pakistan in terms of damage to infrastructure and loss [...] Read more.
The global warming trends have accelerated snow and glacier melt in mountainous river basins, which has increased the probability of glacial outburst flooding. Recurrent flood events are a challenge for the developing economy of Pakistan in terms of damage to infrastructure and loss of lives. Flood hazard maps can be used for future flood damage assessment, preparedness, and mitigation. The current study focused on the assessment and mapping of flood-prone areas in small settlements of the major snow- and glacier-fed river basins situated in Hindukush–Karakoram–Himalaya (HKH) under future climate scenarios. The Hydrologic Engineering Center-River Analysis System (HEC-RAS) model was used for flood simulation and mapping. The ALOS 12.5 m Digital Elevation Model (DEM) was used to extract river geometry, and the flows generated in these river basins using RCP scenarios were used as the inflow boundary condition. Severe flooding would inundate an area of ~66%, ~86%, ~37% (under mid-21st century), and an area of ~72%, ~93%, ~59% (under late 21st century RCP 8.5 scenario) in the Chitral, Hunza, and Astore river basins, respectively. There is an urgent need to develop a robust flood mitigation plan for the frequent floods occurring in northern Pakistan. Full article
(This article belongs to the Special Issue Remote Sensing for Flood Monitoring and Risk Assessment)
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