Application of Geoinformatics and Remote Sensing in Drought and Flood Monitoring

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

Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 1530

Special Issue Editors


E-Mail Website
Guest Editor
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Interests: remote sensing; hydraulic features monitoring; water parameter inversion; target identification
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Interests: remote sensing; water elements monitoring; object recognition; feature extraction; intelligent algorithm
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Both floods and droughts are highly impactful water-related natural disasters that can have severe consequences for the natural environment and society. In recent years, their occurrence has become more frequent, mainly due to the increasing frequency of extreme weather events. The occurrence and development of both flood and drought have special geospatial and temporal characteristics, for example, directly causing significant changes in surface characteristics such as the extent of water bodies, soil water content, and surface temperature. With the continuous enrichment of remote sensing data sources, the technical methods to accurately capture these surface characteristics and their changes are becoming more and more mature. By leveraging geoinformatics and remote sensing technology, it becomes possible to analyze the scope, extent, and development trends of flood and drought impacts more comprehensively, enabling early warning systems for these disasters.

In this Special Issue, we attempt to explore the application of geoinformatics and remote sensing technology in flood and drought disaster monitoring. We encourage the sharing of new technical approaches in flood and drought monitoring, such as the introduction of intelligent models and methods, optimization of existing monitoring models, etc. Furthermore, we encourage the application of multi-source remote sensing data and its products, including but not limited to multi-scale optical and radar satellite images, gravity satellite data such as Gravity Recovery and Climate Experiment (GRACE), and various dataset products acquired based on remote sensing, such as Global Land Surface Satellite (GLASS), JRC Global Surface Water (JRC-GSW), etc., as well as Unmanned Aerial Vehicles (UAVs) remote sensing data. Furthermore, cases of flood and drought monitoring applications in typical regions or at large scales are also very welcome. These contributions reflect our efforts to utilize geoinformatics and remote sensing technology to enhance flood and drought monitoring capabilities across various scales and perspectives. They also provide valuable methodological support for gaining a deeper understanding of the characteristics and trends associated with floods and droughts.

Dr. Wen Zhang
Dr. Linyi Li
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

  • drought
  • flood
  • remote sensing
  • geoinformatics
  • water resources
  • natural hazard monitoring

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 11944 KiB  
Article
A Weighted Overlay Analysis for Assessing Urban Flood Risks in Arid Lands: A Case Study of Riyadh, Saudi Arabia
by Talal Alharbi
Water 2024, 16(3), 397; https://doi.org/10.3390/w16030397 - 25 Jan 2024
Viewed by 1227
Abstract
Urban flooding poses a significant problem in arid regions, where unusual rainfall events can lead to disastrous consequences. This study used geographic information systems (GIS) to identify and predict potential flood risk zones in Riyadh City, Saudi Arabia. A comprehensive flood risk map [...] Read more.
Urban flooding poses a significant problem in arid regions, where unusual rainfall events can lead to disastrous consequences. This study used geographic information systems (GIS) to identify and predict potential flood risk zones in Riyadh City, Saudi Arabia. A comprehensive flood risk map was created by integrating various datasets, including digital elevation models (DEM), lithology, precipitation patterns, slope, and drainage density. Through a weighted overlay analysis, Riyadh was segmented into zones with different levels of flood susceptibility, ranging from low to very high risk. The study area spans 905 km2. Of this total area, 32% is at a low risk of flooding, while 31%, 24%, and 12% of the area are at a moderate, high, and very high risk of flooding, respectively. The findings of the study were validated through field surveys conducted before and after recent rainfall events. These validation efforts corroborated the high-risk areas predicted by the model, thereby ensuring the reliability of the map for future urban planning and risk mitigation strategies. Full article
Show Figures

Figure 1

Back to TopTop