Journal
WATER
Volume 13, Issue 11, Pages -Publisher
MDPI
DOI: 10.3390/w13111577
Keywords
image processing; hydrology; synthetic aperture radar
Categories
Funding
- UK EPSRC [EP/P002331/1]
- EPSRC [EP/P002331/1] Funding Source: UKRI
Ask authors/readers for more resources
This study presents a method for detecting urban flooding by merging near real-time SAR flood extents with model-derived flood hazard maps. The method improves the accuracy of urban flood detection and provides favorable conditions for future flood forecasting.
Remotely sensed flood extents obtained in near real-time can be used for emergency flood incident management and as observations for assimilation into flood forecasting models. High-resolution synthetic aperture radar (SAR) sensors have the potential to detect flood extents in urban areas through clouds during both day- and night-time. This paper considers a method for detecting flooding in urban areas by merging near real-time SAR flood extents with model-derived flood hazard maps. This allows a two-way symbiosis, whereby currently available SAR urban flood extent improves future model flood predictions, while flood hazard maps obtained after the SAR overpasses improve the SAR estimate of urban flood extents. The method estimates urban flooding using SAR backscatter only in rural areas adjacent to urban ones. It was compared to an existing method using SAR returns in both rural and urban areas. The method using SAR solely in rural areas gave an average flood detection accuracy of 94% and a false positive rate of 9% in the urban areas and was more accurate than the existing method.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available