Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India
Northern Bihar is one of the major flood prone region in India affecting thousands of human lives and livelihoods during the recurrent floods occurring due to the monsoonal rains. While it is impossible to prevent the occurrence of extreme flood events, disaster planning can help in mitigating its d...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/91311 |
| _version_ | 1855517037839777792 |
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| author | Amarnath, Giriraj Matheswaran, Karthikeyan Pandey, Pooja Alahacoon, Niranga Yoshimoto, Shuhei |
| author_browse | Alahacoon, Niranga Amarnath, Giriraj Matheswaran, Karthikeyan Pandey, Pooja Yoshimoto, Shuhei |
| author_facet | Amarnath, Giriraj Matheswaran, Karthikeyan Pandey, Pooja Alahacoon, Niranga Yoshimoto, Shuhei |
| author_sort | Amarnath, Giriraj |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Northern Bihar is one of the major flood prone region in India affecting thousands of human lives and livelihoods during the recurrent floods occurring due to the monsoonal rains. While it is impossible to prevent the occurrence of extreme flood events, disaster planning can help in mitigating its detrimental effects. Monitoring flood extent using satellite observations just after the flood disasters is a core component of rapid emergency response process, which enables the emergency rescue teams to prioritize their efforts in critical areas to save lives and protect health, in addition to providing near real-time flooding information to the decision makers and planners. The main objective of this study is to demonstrate the utility of less data intensive, but equally robust hydrodynamic models to develop flood extent maps in conjunction with freely available remote sensing imageries at different scales. MODIS TERRA satellite data was used to map flood extent from 2001 to 2016 for entire Bihar. Two hydraulic models namely FLDPLN and RRI applied for the Bagmathi basin to evaluate our objectives. Both these models are of varying complexity but generate flood extent patterns with minimum amount of input data. The proposed approach is suited for mapping flood extents to provide an input information in near real time (h) when there is no availability to detailed hydraulic models and satellite datasets. Flood inundation extents from FLDPLN and RRI models were validated with Landsat-7 and MODIS TERRA derived flood extents for model performance. The results show acceptable spatial agreement between model predicted and Landsat-7 observed flood extents, denoting the utility of these tools for flood mapping application in data scarce environments. |
| format | Journal Article |
| id | CGSpace91311 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace913112025-03-11T09:50:20Z Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India Amarnath, Giriraj Matheswaran, Karthikeyan Pandey, Pooja Alahacoon, Niranga Yoshimoto, Shuhei floodplains disaster preparedness satellite observation satellite imagery hydrodynamics models mapping emergencies rainfall-runoff relationships river basins case studies Northern Bihar is one of the major flood prone region in India affecting thousands of human lives and livelihoods during the recurrent floods occurring due to the monsoonal rains. While it is impossible to prevent the occurrence of extreme flood events, disaster planning can help in mitigating its detrimental effects. Monitoring flood extent using satellite observations just after the flood disasters is a core component of rapid emergency response process, which enables the emergency rescue teams to prioritize their efforts in critical areas to save lives and protect health, in addition to providing near real-time flooding information to the decision makers and planners. The main objective of this study is to demonstrate the utility of less data intensive, but equally robust hydrodynamic models to develop flood extent maps in conjunction with freely available remote sensing imageries at different scales. MODIS TERRA satellite data was used to map flood extent from 2001 to 2016 for entire Bihar. Two hydraulic models namely FLDPLN and RRI applied for the Bagmathi basin to evaluate our objectives. Both these models are of varying complexity but generate flood extent patterns with minimum amount of input data. The proposed approach is suited for mapping flood extents to provide an input information in near real time (h) when there is no availability to detailed hydraulic models and satellite datasets. Flood inundation extents from FLDPLN and RRI models were validated with Landsat-7 and MODIS TERRA derived flood extents for model performance. The results show acceptable spatial agreement between model predicted and Landsat-7 observed flood extents, denoting the utility of these tools for flood mapping application in data scarce environments. 2017-12 2018-03-07T10:16:34Z 2018-03-07T10:16:34Z Journal Article https://hdl.handle.net/10568/91311 en Open Access Springer Amarnath, Giriraj; Matheswaran, Karthikeyan; Pandey, Pooja; Alahacoon, Niranga; Yoshimoto, Shuhei. 2017. Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India. Proceedings of the National Academy of Sciences India Section A-Physical Sciences. 12p. (Online first). . 10.1007/s40010-017-0461-7 |
| spellingShingle | floodplains disaster preparedness satellite observation satellite imagery hydrodynamics models mapping emergencies rainfall-runoff relationships river basins case studies Amarnath, Giriraj Matheswaran, Karthikeyan Pandey, Pooja Alahacoon, Niranga Yoshimoto, Shuhei Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India |
| title | Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India |
| title_full | Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India |
| title_fullStr | Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India |
| title_full_unstemmed | Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India |
| title_short | Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India |
| title_sort | flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models a case study of bagmathi basin india |
| topic | floodplains disaster preparedness satellite observation satellite imagery hydrodynamics models mapping emergencies rainfall-runoff relationships river basins case studies |
| url | https://hdl.handle.net/10568/91311 |
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