Remote Sensing of Floods: Progress, Challenges and Opportunities
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (26 May 2024) | Viewed by 17037
Special Issue Editors
Interests: multispectral, hyperspectral, and microwave remote sensing; GIS, spatial analysis, and numerical modelling; water quality; floods; urban growth; urban heat island impact; environmental sustainability; landslides; soil moisture; climate change
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; hydrology; water quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing has been used for mapping and monitoring floods for many years. Studying floods is considered as one of the most common and useful applications of remote sensing. With their respective advantages and limitations, optical and microwave remote sensing techniques have been used to study floods in different parts of the world. Their advantages and limitations depend on the physiography, land use and land cover, and climate of the areas studied, and the specific characteristics of the remote sensing systems and sensors used. The recent progress in remote sensing technology, computing, and machine learning algorithms has provided tremendous opportunities to minimize the previously encountered challenges in mapping and monitoring floods. However, these advancements and scopes are not properly researched and documented. Therefore, this Special Issue of Remote Sensing aims to invite original research and review articles on the progress, challenges, and opportunities in remote sensing of floods. The potential topics are as follows:
- Mapping and monitoring floods using multi-sensor remote sensing;
- Mapping and monitoring floods using sensor fusion;
- Mapping flood dynamics using remote sensing;
- Application of microwave and optical remote sensing for studying riverine flooding;
- Application of microwave and optical remote sensing for studying coastal flooding;
- Application of remote sensing for studying flash flooding;
- Machine learning/deep learning in remote sensing of floods;
- Remote sensing of floods using moderate and high-resolution imagery;
- Remote sensing of floods using aerial/air-born/UAV imagery;
- Integration of remote sensing with hydrodynamic models for flood simulation and prediction.
Dr. A. K. M. Azad Hossain
Dr. Taufique Mahmood
Guest Editors
Manuscript Submission Information
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Keywords
- floods
- flood monitoring
- flood impact
- flood damage
- remote sensing
- progress, challenges, and opportunities
- inland flooding
- urban flooding
- flash flooding
- coastal flooding
- optical remote sensing
- radar remote sensing
- hyperspectral remote sensing
- spatial resolution
- high/moderate/low spatial resolution
- temporal resolution
- high/moderate/low temporal resolution
- space-borne remote sensing
- air-borne remote sensing
- drone
- unmanned aerial vehicle (UAV)
- rainfall and runoff
- hydrology
- geospatial technology
- spatial analysis
- numerical model
- hydrodynamic model
- spatial decision support systems (SDSS)
- watershed model
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