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Improving Flood Detection and Monitoring through Remote Sensing
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As climate-change- and human-induced floods inflict increasing costs upon the planet, both in terms of lives and environmental damage, flood monitoring tools derived from remote sensing platforms have undergone improvements in their performance and capabilities in terms of spectral, spatial and temporal extents and resolutions. Such improvements raise new challenges connected to data analysis and interpretation, in terms of, e.g., effectively discerning the presence of floodwaters in different land-cover types and environmental conditions or refining the accuracy of detection algorithms. In this sense, high expectations are placed on new methods that integrate information obtained from multiple techniques, platforms, sensors, bands and acquisition times. Moreover, the assessment of such techniques strongly benefits from collaboration with hydrological and/or hydraulic modeling of the evolution of flood events. The aim of this Special Issue is to provide an overview of recent advancements in the state of the art of flood monitoring methods and techniques derived from remotely sensed data.
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Keywords
- ALOS 2
- Clustering
- CYGNSS
- Environmental science, engineering & technology
- Flood
- flood detection
- flood mapping
- flood monitoring
- geometric parameters
- GNSS-R
- high-water marks
- History of engineering & technology
- hydrology
- image classification
- Image processing
- inundation
- levee stability
- LiDAR
- mobile mapping system
- monsoon
- multi-sensor integration
- multi-temporal inundation analysis
- n/a
- Northern Kyushu floods
- overtopping
- Pearl River Delta
- Philippines
- point clouds
- RRI model
- SAR
- Sentinel-1
- Sistan and Baluchestan
- synthetic aperture radar
- Synthetic Aperture Radar (SAR)
- Technology, engineering, agriculture
- Technology: general issues
- temporary flooded vegetation (TFV)
- time series data
- Zambesi-Shire river basin
Links
DOI: 10.3390/books978-3-0365-3876-1Editions