Remote Sensing in Urban Flooding Monitoring

Dear Colleagues,

Urban flooding occurs when the local capacity to drain rainwater is overwhelmed by heavy and prolonged rainfall and the deterioration of the drainage system. This type of flooding often causes great economic losses due to the concentration of people and properties in urban areas. The world’s mega cities are all facing this problem, and the situation is exacerbated by climate change and an aging urban infrastructure, as well as rapid urban development, reducing the drainage area and water storage for urban expansion. 

Monitoring urban flooding is a major challenge because flooding is a direct and rapid consequence of rainfall. Rainfall forecasting is still a very difficult task due to the complexity of large-scale meteorological factors and surface topographic influence. Fortunately, many Earth Observation satellites have been launched into orbit to enhance the human capacity to monitor and manage the planet. In this Special Issue, we invite all researchers and scientists to contribute to, among others, floodwater detection, flood susceptibility mapping, and flood forecasting methods in urban areas using remote sensing (RS), geographic information systems (GISs), machine learning (ML), and deep learning (DL). We also encourage research that applies numerical modeling, artificial intelligence (AI), as well as modern image analysis techniques and field surveys to be submitted to this Special Issue. The following topics are going to be considered in this Special Issue: 

• Flood forecasting methods
• Flood susceptibility mapping
• Urban flood management
• Flood in coastal cities
• Urban flood under climate change

Dr. Duong Tran Anh
Dr. Tran Dang An
Dr. Dung Duc Tran
Dr. Quoc Bao Pham
Dr. Thanh Duc Dang
Guest Editors

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