Sensing Technology for Flood Monitoring and Forecasting
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 3803
Special Issue Editors
Interests: hydrological modeling; flood forecasting, regionalization; uncertainty; impact of climate change and land use change; evapotranspiration
Special Issues, Collections and Topics in MDPI journals
Interests: image recognition; radar technology; hydrology monitoring; hydrology simulation; artificial intelligence; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing and GIS applications; hydrological modeling; statistical downscaling; climate change and land use/land cover change impact on water resources
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, with the rapid development of information technology, more and more emerging technologies have been applied in water resource management, such as remote sensing (RS), Artificial Intelligence (AI), the Internet of Things (IoT), intelligent image recognition, etc. These technologies can be directly applied to the monitoring of hydrological variables and can also be indirectly applied to hydrological modeling, providing technical support for flood forecasting and warning in a basin. RS technology can be applied to rainfall observation to obtain the continuous spatial distribution of rainfall, such as TRMM and GPM satellites, and it can also be used to monitor the changing of soil moisture, glaciers, lake water body, and flood inundation, which greatly enrich the traditional means of hydrological observation. IoT technology provides new technical means for data collection and transmission, which overcomes the difficulty of data acquisition in some remote areas. Image recognition technologies are also widely used in water level and flow velocity monitoring, such as particle image velocimetry (PIV) and space–time image velocimetry (STIV), which provide new technical means for quickly obtaining water level and flow data. These sensing technologies greatly enrich the ways for flood forecasting and early warning and also provide strong technical support for improving the accuracy of flood forecasting.
Therefore, this Special Issue is aimed at representing the latest advances on current efforts to aid advancing flood monitoring and management through new sensing technologies. We welcome contributions in all fields of remote sensing, flood modeling, flood monitoring, including new systems, signal processing algorithms, as well as new applications. Those include but are not limited to:
RS and GIS in flood forecasting
Flood monitoring and mapping
Flood inundation modelling
Multiple satellite precipitation estimation
The IoT applied in flood monitoring
Spatial data downscaling and assimilation
Image recognition technologies
Particle image velocimetry (PIV)
Space–time image velocimetry (STIV)
AI in flooding forecasting and warning
You may choose our Joint Special Issue in Water.
Prof. Dr. Chong-Yu Xu
Prof. Dr. Hua Chen
Prof. Dr. Zengxin Zhang
Guest Editors
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