Geospatial analysis of September, 2019 floods in the lower gangetic plains of Bihar using multi-temporal satellites and river gauge data
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Bhatt, C. M.
[1
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Gupta, Amitesh
论文数: 0引用数: 0
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JIS Univ, Dept RS & GIS, Kolkata, IndiaIndian Inst Remote Sensing ISRO, Disaster Management Sci Dept, Dehra Dun 248001, Uttarakhand, India
Gupta, Amitesh
[2
]
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Roy, Arijit
[1
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Dalal, Prohelika
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Indian Inst Remote Sensing ISRO, Disaster Management Sci Dept, Dehra Dun 248001, Uttarakhand, IndiaIndian Inst Remote Sensing ISRO, Disaster Management Sci Dept, Dehra Dun 248001, Uttarakhand, India
Dalal, Prohelika
[1
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Chauhan, Prakash
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Indian Inst Remote Sensing ISRO, Disaster Management Sci Dept, Dehra Dun 248001, Uttarakhand, IndiaIndian Inst Remote Sensing ISRO, Disaster Management Sci Dept, Dehra Dun 248001, Uttarakhand, India
Chauhan, Prakash
[1
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机构:
[1] Indian Inst Remote Sensing ISRO, Disaster Management Sci Dept, Dehra Dun 248001, Uttarakhand, India
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 39(th) 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.
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Trivector Traff, Stockholm, Sweden
KTH, Stockholm, SwedenTrivector Traff, Stockholm, Sweden
Ahlmer, Anna-Klara
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Cavalli, Marco
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CNR, Res Inst Geohydrol Protect, Padua, ItalyTrivector Traff, Stockholm, Sweden
Cavalli, Marco
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Hansson, Klas
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Swedish Transport Adm Trafikverket, S-17290 Stockholm, SwedenTrivector Traff, Stockholm, Sweden
Hansson, Klas
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Koutsouris, Alexander J.
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Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, SwedenTrivector Traff, Stockholm, Sweden
Koutsouris, Alexander J.
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Crema, Stefano
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CNR, Res Inst Geohydrol Protect, Padua, ItalyTrivector Traff, Stockholm, Sweden
Crema, Stefano
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Kalantari, Zahra
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Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, SwedenTrivector Traff, Stockholm, Sweden
机构:
Indian Space Res Org, Natl Remote Sensing Ctr, Disaster Management Support Div, Hyderabad 500037, Andhra Pradesh, IndiaIndian Space Res Org, Natl Remote Sensing Ctr, Disaster Management Support Div, Hyderabad 500037, Andhra Pradesh, India
Bhatt, C. M.
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Rao, G. S.
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Indian Space Res Org, Natl Remote Sensing Ctr, Disaster Management Support Div, Hyderabad 500037, Andhra Pradesh, IndiaIndian Space Res Org, Natl Remote Sensing Ctr, Disaster Management Support Div, Hyderabad 500037, Andhra Pradesh, India
机构:
Trivector Traff, Stockholm, Sweden
KTH, Stockholm, SwedenTrivector Traff, Stockholm, Sweden
Ahlmer, Anna-Klara
;
Cavalli, Marco
论文数: 0引用数: 0
h-index: 0
机构:
CNR, Res Inst Geohydrol Protect, Padua, ItalyTrivector Traff, Stockholm, Sweden
Cavalli, Marco
;
Hansson, Klas
论文数: 0引用数: 0
h-index: 0
机构:
Swedish Transport Adm Trafikverket, S-17290 Stockholm, SwedenTrivector Traff, Stockholm, Sweden
Hansson, Klas
;
Koutsouris, Alexander J.
论文数: 0引用数: 0
h-index: 0
机构:
Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, SwedenTrivector Traff, Stockholm, Sweden
Koutsouris, Alexander J.
;
Crema, Stefano
论文数: 0引用数: 0
h-index: 0
机构:
CNR, Res Inst Geohydrol Protect, Padua, ItalyTrivector Traff, Stockholm, Sweden
Crema, Stefano
;
Kalantari, Zahra
论文数: 0引用数: 0
h-index: 0
机构:
Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, SwedenTrivector Traff, Stockholm, Sweden
机构:
Indian Space Res Org, Natl Remote Sensing Ctr, Disaster Management Support Div, Hyderabad 500037, Andhra Pradesh, IndiaIndian Space Res Org, Natl Remote Sensing Ctr, Disaster Management Support Div, Hyderabad 500037, Andhra Pradesh, India
Bhatt, C. M.
;
Rao, G. S.
论文数: 0引用数: 0
h-index: 0
机构:
Indian Space Res Org, Natl Remote Sensing Ctr, Disaster Management Support Div, Hyderabad 500037, Andhra Pradesh, IndiaIndian Space Res Org, Natl Remote Sensing Ctr, Disaster Management Support Div, Hyderabad 500037, Andhra Pradesh, India