Remote Sensing of Floods: Progress, Challenges and Opportunities (Second Edition)

Dear Colleagues,

Remote sensing has been used for mapping and monitoring floods for many years. Studying floods is considered 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 physiographies, land use and land cover types, and climates of the areas studied, as well as 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 topics have not been properly researched and documented. Therefore, the first volume of this Special Issue of Remote Sensing was published to present original research and review articles on the progress, challenges, and opportunities related to the remote sensing of floods. With the success of the first volume of this important Special Issue, we are excited to request more original research and review articles discussing the progress, challenges, and opportunities related to the remote sensing of floods to publish in the second volume.

Potential topics include the following:

• Mapping, monitoring, and modeling floods using multi-sensor remote sensing methods;
• Mapping, monitoring, and modeling floods using sensor fusion;
• Mapping and modeling flood dynamics using remote sensing;
• Application of SAR, LIDAR, and multispectral remote sensing for studying riverine and coastal flooding;
• Application of remote sensing for studying flash flooding;
• Machine learning/deep learning in the 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. Azad Hossain
Dr. Xiaobo Chao
Dr. Taufique Mahmood
Guest Editors

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