Identification of completely submerged areas due to tropical cyclone using satellite data : an Indian case study

DSpace/Manakin Repository

Identification of completely submerged areas due to tropical cyclone using satellite data : an Indian case study

Show simple item record

dc.contributor.author ABHYANKAR, AA
dc.contributor.author PATWARDHAN, A
dc.contributor.author INAMDAR, A
dc.date.accessioned 2011-10-24T20:16:13Z
dc.date.accessioned 2011-12-15T09:11:44Z
dc.date.available 2011-10-24T20:16:13Z
dc.date.available 2011-12-15T09:11:44Z
dc.date.issued 2006
dc.identifier.citation 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8,3305-3308 en_US
dc.identifier.isbn 978-0-7803-9509-1
dc.identifier.uri http://dx.doi.org/10.1109/IGARSS.2006.849
dc.identifier.uri http://dspace.library.iitb.ac.in/xmlui/handle/10054/15513
dc.identifier.uri http://hdl.handle.net/100/2252
dc.description.abstract 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 oil the Kendrapara district of Orissa state, which was hit by a cyclone on 29-30(th) 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 tip 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. en_US
dc.language.iso English en_US
dc.publisher IEEE
dc.source IEEE International Geoscience and Remote Sensing Symposium (IGARSS),Denver, CO,JUL 31-AUG 04, 2006
dc.subject radarsat en_US
dc.title Identification of completely submerged areas due to tropical cyclone using satellite data : an Indian case study en_US
dc.type Proceedings Paper en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account