Remote Sensing Applications for Flood Forecasting and Flood Risk Management

Dear Colleagues,

The world has suffered from an increased frequency of flood disasters under the changing climate, and the economic losses caused by flood disasters are rapidly increasing. To adapt to the climate change and the frequent natural disasters, our global researchers need to pay additional attention to the disaster prevention, mitigation, and relief capabilities. Flooding has become the main restriction factor for the sustainable development of human society and economy. Consequently, flood forecasting and flood risk management have always been the focus of intensive research effort around the world. In order to address this critical research challenge, remote sensing technology has been used to monitor the status and evolution of floods and to provide reference data for improving the flood emergency response capability and disaster risk management level.

With the aggravation of climate change, floods have caused huge economic losses and endanger the safety of cities. Therefore, urban flood monitoring and early warning, flood loss prediction and flood risk response measures are particularly important in flood risk management and flood resilient cities. Remote sensing technology can monitor and simulate the occurrence and development of flood disasters, thus providing an important reference for flood disaster prediction and effective flood control. Based on various remote sensing spatial information, the relevant evaluation and analysis models are constructed, the flood disaster and drought degree are scientifically evaluated, the disaster is accurately predicted, and the early warning information is sent out in time, which provides a reliable reference for flood control and drought relief. Thus, better disaster prevention and mitigation effects can be achieved, reducing the loss of lives and economic property and promoting the rapid development of the global social economy.

The proposed Special Issue focuses on popularizing the latest research results related to the applications of remote sensing technology in the field of flood risk prediction and management, so as to reduce the impacts of flood disasters and to ensure the sustainable development of urban and river basins and the economy, society, and the environment. Through remote sensing inversion simulation, this Special Issue aims to put forward reasonable ideas for urban and river flood risk response measures. This issue attempts to use related methods in hydrologic modeling and forecasting and water resources planning and management, including, but not limited to, remote sensing inversion simulation, empirical methods, and sustainable development.

Prof. Dr. Pingping Luo
Dr. Ahmed Elbeltagi
Prof. Dr. Binaya Kumar Mishra
Dr. Reza Hassanzadeh
Prof. Dr. Van-Thanh-Van Nguyen
Dr. Baofu Li
Guest Editors

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• flood forecasting
• remote sensing and GIS
• risk identification
• dynamic simulation
• food control
• arid area
• hydrological modelling
• urban stormwater management
• climate change
• flood damage assessment
• adaptation and mitigation
• integrated water resource management
• policy and strategies
• flood-resilient cities
• water quality
• urban planning
• watershed spatial hydrology