Matches in SemOpenAlex for { <https://semopenalex.org/work/W2510677701> ?p ?o ?g. }
- W2510677701 endingPage "327" @default.
- W2510677701 startingPage "309" @default.
- W2510677701 abstract "The state of Jammu and Kashmir in North India experienced one of the worst floods in the past 60 years, during the first week of September 2014. In the present study, multi-temporal synthetic aperture radar (SAR) satellite images acquired from Indian Remote Sensing (IRS) satellite RISAT-1 and Canadian satellite Radarsat-2 during the peak flood period (08th–23rd September 2014) are used for extraction of flood disaster footprints, mapping spatial and temporal dynamics of flood inundation and assessing the disaster impact. With the aid of pre- and post-flood satellite images, coupled with hydro-meteorological data, the unprecedented flood situation is analyzed. It is estimated that about 557 km2 of the Kashmir Valley's geographical area was inundated. Bandipora, Pulwama, Srinagar, Baramulla and Budgam were the worst flood affected districts, having more than 50 km2 of their area affected by flood waters. Of the total inundated area, about 80% of the area under agricultural activity was submerged, followed by built-up areas constituting about 12% of geographical area. About 22 lakh people in 287 villages were affected by floods. The flood waters persisted in the northern and central part of the valley for more than two weeks." @default.
- W2510677701 created "2016-09-16" @default.
- W2510677701 creator A5005683633 @default.
- W2510677701 creator A5005797579 @default.
- W2510677701 creator A5007990270 @default.
- W2510677701 creator A5029962912 @default.
- W2510677701 creator A5038732596 @default.
- W2510677701 creator A5053415644 @default.
- W2510677701 creator A5053962825 @default.
- W2510677701 creator A5058027495 @default.
- W2510677701 creator A5078414658 @default.
- W2510677701 creator A5084685866 @default.
- W2510677701 creator A5086157064 @default.
- W2510677701 date "2016-08-17" @default.
- W2510677701 modified "2023-10-02" @default.
- W2510677701 title "Satellite-based assessment of the catastrophic Jhelum floods of September 2014, Jammu & Kashmir, India" @default.
- W2510677701 cites W1563226074 @default.
- W2510677701 cites W1597521047 @default.
- W2510677701 cites W1963978185 @default.
- W2510677701 cites W1970843124 @default.
- W2510677701 cites W1972738503 @default.
- W2510677701 cites W1974152235 @default.
- W2510677701 cites W1974917103 @default.
- W2510677701 cites W1983087736 @default.
- W2510677701 cites W2004744873 @default.
- W2510677701 cites W2005288675 @default.
- W2510677701 cites W2006108538 @default.
- W2510677701 cites W2006790792 @default.
- W2510677701 cites W2006824899 @default.
- W2510677701 cites W2007333059 @default.
- W2510677701 cites W2050704892 @default.
- W2510677701 cites W2058127486 @default.
- W2510677701 cites W2080079057 @default.
- W2510677701 cites W2083593392 @default.
- W2510677701 cites W2085904028 @default.
- W2510677701 cites W2088974351 @default.
- W2510677701 cites W2089012217 @default.
- W2510677701 cites W2091351952 @default.
- W2510677701 cites W2092788599 @default.
- W2510677701 cites W2115076670 @default.
- W2510677701 cites W2122166205 @default.
- W2510677701 cites W2127051400 @default.
- W2510677701 cites W2130679125 @default.
- W2510677701 cites W2132001933 @default.
- W2510677701 cites W2151269338 @default.
- W2510677701 cites W2153765692 @default.
- W2510677701 cites W2163676224 @default.
- W2510677701 cites W2328602626 @default.
- W2510677701 cites W2478522449 @default.
- W2510677701 cites W4235362335 @default.
- W2510677701 cites W4240541183 @default.
- W2510677701 doi "https://doi.org/10.1080/19475705.2016.1218943" @default.
- W2510677701 hasPublicationYear "2016" @default.
- W2510677701 type Work @default.
- W2510677701 sameAs 2510677701 @default.
- W2510677701 citedByCount "61" @default.
- W2510677701 countsByYear W25106777012017 @default.
- W2510677701 countsByYear W25106777012018 @default.
- W2510677701 countsByYear W25106777012019 @default.
- W2510677701 countsByYear W25106777012020 @default.
- W2510677701 countsByYear W25106777012021 @default.
- W2510677701 countsByYear W25106777012022 @default.
- W2510677701 countsByYear W25106777012023 @default.
- W2510677701 crossrefType "journal-article" @default.
- W2510677701 hasAuthorship W2510677701A5005683633 @default.
- W2510677701 hasAuthorship W2510677701A5005797579 @default.
- W2510677701 hasAuthorship W2510677701A5007990270 @default.
- W2510677701 hasAuthorship W2510677701A5029962912 @default.
- W2510677701 hasAuthorship W2510677701A5038732596 @default.
- W2510677701 hasAuthorship W2510677701A5053415644 @default.
- W2510677701 hasAuthorship W2510677701A5053962825 @default.
- W2510677701 hasAuthorship W2510677701A5058027495 @default.
- W2510677701 hasAuthorship W2510677701A5078414658 @default.
- W2510677701 hasAuthorship W2510677701A5084685866 @default.
- W2510677701 hasAuthorship W2510677701A5086157064 @default.
- W2510677701 hasBestOaLocation W25106777011 @default.
- W2510677701 hasConcept C127313418 @default.
- W2510677701 hasConcept C127413603 @default.
- W2510677701 hasConcept C146978453 @default.
- W2510677701 hasConcept C166957645 @default.
- W2510677701 hasConcept C187320778 @default.
- W2510677701 hasConcept C19269812 @default.
- W2510677701 hasConcept C205649164 @default.
- W2510677701 hasConcept C2778102629 @default.
- W2510677701 hasConcept C39432304 @default.
- W2510677701 hasConcept C62649853 @default.
- W2510677701 hasConcept C74256435 @default.
- W2510677701 hasConcept C76886044 @default.
- W2510677701 hasConcept C87360688 @default.
- W2510677701 hasConceptScore W2510677701C127313418 @default.
- W2510677701 hasConceptScore W2510677701C127413603 @default.
- W2510677701 hasConceptScore W2510677701C146978453 @default.
- W2510677701 hasConceptScore W2510677701C166957645 @default.
- W2510677701 hasConceptScore W2510677701C187320778 @default.
- W2510677701 hasConceptScore W2510677701C19269812 @default.
- W2510677701 hasConceptScore W2510677701C205649164 @default.
- W2510677701 hasConceptScore W2510677701C2778102629 @default.
- W2510677701 hasConceptScore W2510677701C39432304 @default.