Tropical cyclones are one of the most destructive natural disasters occurring frequently in coastal India. The socio
economic impacts of these tropical cyclones are high as they result in enormous loss of life and property every year. In
the present study, pre event visible-near IR images and post event Radarsat images were procured and used to identify
completely submerged landcovers temporally. The methodology is developed considering a case study on the
Kendrapara district of Orissa state, which was hit by a cyclone on 29-30th October 1999. The pre event IRS 1D LISS III
(resolution = 22m) image of Kendrapara district was procured geometrically corrected and classified into several
landuse and landcover classes. For landuse/landcover classification, supervised classification technique was used. This
georeferenced landuse/landcover map provided the baseline information for the district. Next step involved
procurement of immediate temporal post-event SAR images of the cyclone-affected district. These images were
geometrically corrected and cleaned for speckle noise. Deterministic approach was used to set up threshold for
classifying pixel as completely submerged under water or non submerged for Radarsat SAR images i.e. Radarsat SAR
images exactly delineated areas completely submerged under water due to cyclonic floods. This type of analysis will
help policy makers in determining the extent of submergence and damage. This methodology would be used as a rapid
tool to assess damage. Further, this will help in expediting the release of relief funds as well as aid proper allocation of
funds to the affected areas/people.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.