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Geospatial analysis of September, 2019 floods in the lower gangetic plains of Bihar using multi-temporal satellites and river gauge data / C.M. Bhatt in Geomatics, Natural Hazards and Risk, vol 12 n° 1 (2021)  

Public [article]  inGeomatics, Natural Hazards and Risk > vol 12 n° 1 (2021) . - pp 84 - 102 Titre : Geospatial analysis of September, 2019 floods in the lower gangetic plains of Bihar using multi-temporal satellites and river gauge data Type de document : Article/Communication Auteurs : C.M. Bhatt, Auteur ; Amitesh Gupta, Auteur ; Arijit Roy, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 84 - 102 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] cartographie des risques [Termes IGN] crue [Termes IGN] données spatiotemporelles [Termes IGN] Gange (fleuve) [Termes IGN] humidité du sol [Termes IGN] image Aqua-AMSR [Termes IGN] image Aqua-MODIS [Termes IGN] image radar moirée [Termes IGN] image Sentinel-SAR [Termes IGN] image Terra-MODIS [Termes IGN] Inde [Termes IGN] inondation [Termes IGN] précipitation Résumé : (auteur) During late September, 2019 Bihar was struggling with severe flooding problem, which otherwise is marked as a period of flood recession due to withdrawal of south-east monsoons. The present study assess the flood situation using Sentinel-1 SAR images and complements the understanding about the flood event using long term (2000-18) multi-temporal space based flood sensitive proxy indicators like precipitation (GPM), soil moisture (AMSR-2), vegetation condition (MODIS) together with ground based river gauge (CWC) data. The study reveals that in 2019 during the 39th week of the year (late September) the central and eastern parts of Bihar witnessed heavy precipitation (176 percent higher than average), leading to enhanced soil moisture build up (19 percent higher than average) and consequently triggering severe flooding. River Ganga was observed to be flowing above danger level for almost two weeks. Due to the prolonged submergence by floodwaters a significant drop was observed in the NDVI and EVI values of about 13.7 and 11.1 percent respectively from the normal. About 8.36 lakh ha area was observed to be inundated, impacting about 9.26 million population. Patna followed by Bhagalpur were the two worst affected districts with almost 30% and 36% of districts geographical area being flooded. Numéro de notice : A2021-107 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/19475705.2020.1861113 Date de publication en ligne : 24/12/2020 En ligne : https://doi.org/10.1080/19475705.2020.1861113 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96904 [article]

An open source framework for publishing flood inundation extent libraries in a Web GIS environment using open source technologies / Vinod Kumar Sharma in International journal of cartography, vol 4 n° 1 (March 2018)  

Public [article]  inInternational journal of cartography > vol 4 n° 1 (March 2018) . - pp 65 - 77 Titre : An open source framework for publishing flood inundation extent libraries in a Web GIS environment using open source technologies Type de document : Article/Communication Auteurs : Vinod Kumar Sharma, Auteur ; Nitin Mishra, Auteur ; C.M. Bhatt, Auteur ; G. Srinivasa Rao, Auteur ; V. Bhanumurthy, Auteur Année de publication : 2018 Article en page(s) : pp 65 - 77 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] base de données localisées [Termes IGN] bibliothèque logicielle [Termes IGN] cadre conceptuel [Termes IGN] cartographie des risques [Termes IGN] Inde [Termes IGN] inondation [Termes IGN] risque naturel [Termes IGN] visualisation de données [Termes IGN] WebSIG Résumé : (auteur) The concept of static flood inundation extent libraries and their utilisation to anticipate the extent of inundation to alert and evacuate the population likely to get affected has been suggested by many researchers in different prototype studies. Actual implementation of the concept for a nation like India demands an automated practical operational software framework for systematic organisation, retrieval and visualisation of flood inundation extent libraries in a Geographic Information System (GIS) environment. Implementation of a software framework in a Web GIS environment facilitates decision-makers to access the inundation library with a functionality to overlay other spatial layers for proper situation assessment and decision-making. Utilisation of an open source software library for developing the software framework reduces the overall project cost and its re-distribution. The present work addresses the development of an automated operational framework for one of the chronically flood affected states in India (Bihar) using open source libraries for updating libraries, cataloguing, database organisation, retrieval of data and visualisation of flood extent. The developed framework first reads and arranges the flood forecast information followed by database organisation for identifying the corresponding inundation extent and other related layers available in the library for visualisation. Numéro de notice : A2018-082 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2017.1370861 En ligne : https://doi.org/10.1080/23729333.2017.1370861 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89450 [article]