DEM and SAR image based flood feature extraction techniques to map the deep and shallow flood inundated regions of known as well as remote disaster regions

Abstract

Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/tgei20 DEM and SAR image based flood feature extraction techniques to map the deep and shallow flood inundated regions of known as well as remote disaster regions DEM and SAR image based flood feature extraction techniques to map the deep and shallow flood inundated regions of known as well as remote disaster regions It is viable to differentiate the deep and shallow flood inundated regions through a new flood feature extraction techniques named as 'Digital Elevation Model (DEM) and Synthetic Aperture Radar (SAR) image based flood feature extraction model'. The proposed model has been built mainly on the top of DEM of the disaster region without adopting standard multi-layer GIS techniques. To meet the time related factors of flood early warning system the image clustering operations has been automated at three different levels which bifurcates the input datasets and extracts the much required end results such as deep flooded regions, shallow flood inundated regions and non-flooded regions. The model has been tested with SAR flood images of known geographical region as well as remote geographical region. The proposed model can be automated against the input SAR sensor image and corresponding DEM of the respective SAR scene of any part of the world.

Review of synthetic aperture radar frequency, polarization, and incidence angle data for mapping the inundated regions

“…68 Hence, in the absence of HH polarization, data from VH and HV polarization are other preferable choices for flood area mapping application. 29,68,70 With reference to the role of the incidence angle of SAR sensor in the flood area mapping theme, it has been observed that over a vast open area increase in the incidence angle enhances ground and open-water boundaries because of stronger specular reflection of smooth water. However, such images produce an opposite effect over the dense vegetated or forest cover regions where the steep incidence angle images are preferable as signals from steep incidence angle can penetrate more into the canopy as the signal has short passage.…”

“…In line with this Manavalan et al have analyzed SAR data of HH, VH, and VV polarization data of the same as well as different geographical regions. 29,70 A comparative flood area assessment of the same flood event covering the same geographical region has been analyzed using C-band ENVISAT ASAR of VH and VV polarization and L-band HH polarization data of ALOS-1 PALSAR satellite. 29 For the remote location, the available Cband ENVISAT HH polarization data have been analyzed.…”

“…29 For the remote location, the available Cband ENVISAT HH polarization data have been analyzed. 70 These analyses suggest that in the absence of a HH polarization image, the crosspolarization images of VH and HV data are the preferred choice of data for flood area mapping application. 68 The VV polarization data due to their sensitivity over the rough water surface as well as enhanced volume scattering of vegetated flooded regions seem to provide less information for any flood-related studies.…”