Remote Sensing, GIS and Numerical Models for Urban Flood Risk Assessment
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 2228
Special Issue Editors
2. School of Geographical Sciences, University of Bristol, Bristol BS8 1QU, UK
Interests: earth observation; SAR; floods; disaster response; flood modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
There is now global consensus that we are experiencing climate change impacts at an unprecedented rate. This is especially true for the most vulnerable places and communities. Hydroclimatic extremes are increasingly occurring at spatial and temporal scales that are exceeding past measurement records. Urban areas are increasingly exposed, especially due to the vast urbanization and uncontrolled anthropic alteration of the territory. In these densely inhabited urbanscapes, short-lived severe rainfall events can generate massive flooding causing uncountable economical losses and also frequently leading to numerous fatalities. Such phenomena are projected to increase in frequency under the ongoing changing climate further, exacerbating the hydrological cycle.
Recently, there has been much progress in research that allows fostering our understanding of urban flood risk, particularly due to great technological advances in remote sensing, including satellites and drones, cloud computing, online big data processing platforms, faster numerical model codes, and a general proliferation of open-access GIS datasets. Additionally, the last few years have seen substantial development in the field of Artificial Intelligence (AI), especially in novel Machine Learning (ML) models that are becoming ever more skillful in predicting flood risk at local scales and can greatly complement numerical flood models.
By leveraging these technologies, we can enhance our understanding of flood risk and inform decision-making related to flood management and disaster response. Furthermore, they can drive the planning of flood mitigation strategies and inform the development of real-time flood warning systems.
This special issue will collect papers that make a considerable contribution to the recent advances in the use of remote sensing, GIS, AI/ML and numerical models to improve our understanding of changing flood risks in urban areas.
We are particularly interested in article contributions that focus on the following topics:
- The use of remote sensing, and/or GIS, numerical modeling, AI/ML to assess urban flood risk and support flood risk management strategies;
- Measuring or modelling urban hydrology, including runoff, discharge, infiltration, drainage, etc.;
- Integration of surface processes with underground drainage systems;
- The use of drones and IoT technology in urban flood risk assessment.
Dr. Guy Jean Pierre Schumann
Dr. Paolo Tamagnone
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
- urban flood risk
- pluvial flooding
- climate change impact
- flood modelling
- urban hydrology
- remote sensing and GIS