Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing data

The present study focuses on the unprecedented flood situation captured through multi-temporal satellite images, witnessed along the Ganga River in Uttar Pradesh during September 2010. At three gauge stations (Kannauj, Ankinghat and Kanpur), river water level exceeded the previous high-flood level a...

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Main Authors: C.M. Bhatt, G.S. Rao
Format: Article
Language:English
Published: Taylor & Francis Group 2016-03-01
Series:Geomatics, Natural Hazards & Risk
Online Access:http://dx.doi.org/10.1080/19475705.2014.949877
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spelling doaj-d52a52c325e34f92b14c0453213c57f12020-11-24T22:10:37ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132016-03-017274776310.1080/19475705.2014.949877949877Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing dataC.M. Bhatt0G.S. Rao1Indian Space Research Organization (ISRO)Indian Space Research Organization (ISRO)The present study focuses on the unprecedented flood situation captured through multi-temporal satellite images, witnessed along the Ganga River in Uttar Pradesh during September 2010. At three gauge stations (Kannauj, Ankinghat and Kanpur), river water level exceeded the previous high-flood level attained by river more than a decade ago. The present communication with the aid of pre- and post-flood satellite images, coupled with hydrological (river water level) and meteorological (rainfall) data, explains about the unprecedented flood situation. In the latter part of the study, a novel and cost-effective method for building a library of flood inundation extents based on historical satellite data analysis and tagging the inundation layer with observed water level is demonstrated. During flood season, based on the forecasted water level, the library can be accessed to fetch the spatial inundation layer corresponding to the forecasted stage and anticipate in advance, likely spatial inundation pattern and submergence of villages and hence in alerting the habitation at risk. This method can be helpful in anticipating the areas to be affected in situations where satellite images cannot be effectively utilized due to cloud cover and also for providing information about the areas being partially covered in satellite data.http://dx.doi.org/10.1080/19475705.2014.949877
collection DOAJ
language English
format Article
sources DOAJ
author C.M. Bhatt
G.S. Rao
spellingShingle C.M. Bhatt
G.S. Rao
Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing data
Geomatics, Natural Hazards & Risk
author_facet C.M. Bhatt
G.S. Rao
author_sort C.M. Bhatt
title Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing data
title_short Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing data
title_full Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing data
title_fullStr Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing data
title_full_unstemmed Ganga floods of 2010 in Uttar Pradesh, north India: a perspective analysis using satellite remote sensing data
title_sort ganga floods of 2010 in uttar pradesh, north india: a perspective analysis using satellite remote sensing data
publisher Taylor & Francis Group
series Geomatics, Natural Hazards & Risk
issn 1947-5705
1947-5713
publishDate 2016-03-01
description The present study focuses on the unprecedented flood situation captured through multi-temporal satellite images, witnessed along the Ganga River in Uttar Pradesh during September 2010. At three gauge stations (Kannauj, Ankinghat and Kanpur), river water level exceeded the previous high-flood level attained by river more than a decade ago. The present communication with the aid of pre- and post-flood satellite images, coupled with hydrological (river water level) and meteorological (rainfall) data, explains about the unprecedented flood situation. In the latter part of the study, a novel and cost-effective method for building a library of flood inundation extents based on historical satellite data analysis and tagging the inundation layer with observed water level is demonstrated. During flood season, based on the forecasted water level, the library can be accessed to fetch the spatial inundation layer corresponding to the forecasted stage and anticipate in advance, likely spatial inundation pattern and submergence of villages and hence in alerting the habitation at risk. This method can be helpful in anticipating the areas to be affected in situations where satellite images cannot be effectively utilized due to cloud cover and also for providing information about the areas being partially covered in satellite data.
url http://dx.doi.org/10.1080/19475705.2014.949877
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