A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multi‐temporal synthetic aperture radar flood mapping using change detection
A change detection and thresholding methodology has been adapted from previous studies to determine the extent of flooding for 13 Sentinel‐1 synthetic aperture radar images captured during the floods of winter 2015–2016 in Yorkshire, UK. Both available polarisations, VH and VV, have been processed to allow for a comparison of their respective accuracy for delineating surface water. Peak flood extents are found on 29 December 2015 during the aftermath of storms Eva and Frank. Results have been validated against a Sentinel‐2 optical image, with both polarisations producing a total accuracy of 97%. Of the two polarisations, VV produces fewer misclassifications, mirroring the similar results reported in previous research. Mapped results are compared to the Environment Agency Flood Maps for Planning (EA FMP), with good correlation observed for inundation on the floodplains. Differences occur away from the floodplains, with the satellite data identifying pluvial flooding not highlighted by the EA FMP.
Multi‐temporal synthetic aperture radar flood mapping using change detection
A change detection and thresholding methodology has been adapted from previous studies to determine the extent of flooding for 13 Sentinel‐1 synthetic aperture radar images captured during the floods of winter 2015–2016 in Yorkshire, UK. Both available polarisations, VH and VV, have been processed to allow for a comparison of their respective accuracy for delineating surface water. Peak flood extents are found on 29 December 2015 during the aftermath of storms Eva and Frank. Results have been validated against a Sentinel‐2 optical image, with both polarisations producing a total accuracy of 97%. Of the two polarisations, VV produces fewer misclassifications, mirroring the similar results reported in previous research. Mapped results are compared to the Environment Agency Flood Maps for Planning (EA FMP), with good correlation observed for inundation on the floodplains. Differences occur away from the floodplains, with the satellite data identifying pluvial flooding not highlighted by the EA FMP.
Multi‐temporal synthetic aperture radar flood mapping using change detection
Clement, M.A. (author) / Kilsby, C.G. (author) / Moore, P. (author)
Journal of Flood Risk Management ; 11 ; 152-168
2018-06-01
17 pages
Article (Journal)
Electronic Resource
English
Probabilistic Flood Mapping Using Synthetic Aperture Radar Data
| Online Contents | 2016
Wind energy mapping using synthetic aperture radar
| Online Contents | 2002
Two-Stage Change Detection for Synthetic Aperture Radar
| Online Contents | 2015
Synthetic Aperture Radar - A Temporal Decorrelation Model for Polarimetric Radar Interferometers
| Online Contents | 2012