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Spatial and Temporal Distribution of Floods

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Floods in a Megacity

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Abstract

Flood mapping and monitoring was performed using both Landsat and Radarsat data from 1988 to 2009. Multi-temporal satellite data were digitally classified using a threshold algorithm to determine the spatial and temporal distribution of floods. In addition, flood depths were calculated using the highest water-level data with a DEM. Synthetic depth–damage curves were prepared for three housing categories and for major roads. Flood maps were evaluated using classified satellite images with ground truth data. It was found that 25% of the study area is flooded every year which could rise to more than 40% during abnormal events such as those that occurred in 1988 and 1998. Flood damage estimations revealed that the greatest damage occurred to katcha houses rather than semi-pucca and pucca houses. Variable accuracies were found for satellite-derived flood maps; however, the overall accuracy was highest for radar-based classifications.

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References

  • Adam S, Wiebe J, Collins M, Pietroniro A (1998) RADARSAT flood mapping in the Peace-Athabasca Delta, Canada. Can J Remote Sens 24(1):69–79

    Google Scholar 

  • Alam M, Rabbani MG (2007) Vulnerabilities and responses to climate change for Dhaka. Environ Urban 19(1):81–97

    Article  Google Scholar 

  • Alam MJB, Zakaria M (2002) Design and construction of roads in flood affected areas. In: Ali MA, Seraj SM, Ahmad E (eds) Engineering concerns of flood. Bangladesh University of Engineering and Technology, Dhaka, pp 91–100

    Google Scholar 

  • Avery TE, Berlin GE (1992) Fundamentals of remote sensing and airphoto interpretation. Macmillan, New York

    Google Scholar 

  • Bala SK, Islam AKMS, Chowdhury JU, Rahman MR, Haque MA, Khan MSA, Salehin M (2009) Performance of flood control works around Dhaka city during major floods in Bangladesh. A paper presented in the 2nd international conference on water and flood management, Dhaka

    Google Scholar 

  • Bangladesh Bureau of Statistics (BBS) (2003) Population census – 2001. Community series – Dhaka, Narayanganj, Gazipur. Bangladesh Bureau of Statistics, Ministry of Planning, Dhaka

    Google Scholar 

  • Barua S, van Ast JA (2011) Towards interactive flood management in Dhaka, Bangladesh. Water Policy 13(5):693–716

    Article  Google Scholar 

  • Baumann PR (1999) http://www.research.umbc.edu/tbenja1/baumann/mode2.html. Accessed 12 Jan, 2004

  • Bhavasar PD (1984) Review of remote sensing applications in hydrology and water resources management in India. Adv Space Res 4(11):193–200

    Article  Google Scholar 

  • Boyle SJ, Tsanis IK, Kanaroglou PS (1998) Developing geographic information system for land use impact assessment in flooding condition. J Water Resour Plan Manage 124(2):89–98

    Article  Google Scholar 

  • Chowdhury MR, Sato T (2000) The impact of household characteristics on flood damage – a case study. J Floodplain Manage 1(2):35–56

    Google Scholar 

  • Chowdhury JU, Rahman R, Bala SK, Islam AKMS (1998) Impact of 1998 flood on Dhaka City and performance of flood control works. Institute of Flood Control and Drainage Research, Bangladesh University of Engineering and Technology, Dhaka

    Google Scholar 

  • Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens Environ 37(1):35–46

    Article  Google Scholar 

  • Consuegra D, Joerin F, Vitalini F (1995) Flood delineation and impact assessment in agricultural land using GIS technology. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazards. Kluwer Academic Publishers, Dordrecht, pp 177–198

    Google Scholar 

  • Corbley KP (1993) Remote sensing and GIS provide rapid response for flood relief. Earth Observ Mag 2:28–30

    Google Scholar 

  • de Brouder JAM (1994) Flood study in the Meghna – Dhonagoda polder, Bangladesh. In: Proceedings of the 15th Asian conference on remote sensing, Bangalore, India, 17–23 November

    Google Scholar 

  • Dewan AM, Corner RJ (2012) The impact of land use and land cover changes on land surface temperature in a rapidly urbanizing megacity. In: IGARSS 2012, Munich, Germany

    Google Scholar 

  • Dewan AM, Yeboah KK, Nishigaki M (2005) Flood mapping and damage evaluation in Greater Dhaka, Bangladesh with remote sensing. Asian Profile 33(5):495–512

    Google Scholar 

  • Dewan AM, Yeboah KK, Nishigaki M (2006) Using synthetic aperture radar (SAR) data for mapping river water flooding in an urban landscape: a case study of Greater Dhaka, Bangladesh. J Hydrol Water Resour 19(1):44–54

    Article  Google Scholar 

  • Dong Y, Forster B, Ticehurst C (1997) Radar backscatter analysis for urban environments. Int J Remote Sens 18(6):1351–1364

    Article  Google Scholar 

  • Douglas I (2009) Climate change, flooding and food security in South Asia. Food Secur 1(2):127–136

    Google Scholar 

  • Durand JM, Gimonet BJ, Debros JR (1987) SAR data filtering for classification. IEEE Trans Geosci Remote Sens GE-25(5):629–637

    Article  Google Scholar 

  • Dutta D, Herath S, Musiake K (2003) A mathematical model for flood loss estimation. J Hydrol 277(1–2):24–49

    Article  Google Scholar 

  • Dutta D, Khatun F, Herath S (2005) Analysis of flood vulnerability of urban buildings and population in Hanoi, Vietnam. Seisan Kenkyo 57(4):150–154

    Google Scholar 

  • Etkin D (1999) Risk transference and related trends: driving forces towards more mega-disasters. Environ Hazard 1(2):69–75

    Google Scholar 

  • Few R (2003) Flooding, vulnerability and coping strategies: local responses to a global threat. Prog Dev 3(1):43–58

    Article  Google Scholar 

  • Flood Action Plan (FAP) 8A (1991) Master plan study for Greater Dhaka protection project. Japan International Cooperation Agency, Dhaka

    Google Scholar 

  • Flood Action Plan (FAP) 19 (1995) Satellite based radar for flood mapping in Bangladesh. ISPAN/USAID, Dhaka

    Google Scholar 

  • Fung T, LeDrew E (1988) The determination of optimal threshold levels for change detection using various accuracy indices. Photogramm Eng Remote Sens 54(10):1449–1454

    Google Scholar 

  • Gillespie TW, Chu J, Elizabeth F, Thomas D (2007) Assessment and prediction of natural hazards from satellite imagery. Prog Phys Geogr 31(5):459–470

    Article  Google Scholar 

  • Government of Bangladesh (GOB) (2000) Baseline information study of the Dhaka combined flood control cum eastern bypass road project. Final report, Dhaka, p 106

    Google Scholar 

  • Green CH, Tunstall SM, Fordham M (1991) The risks from flooding: which risk and whose perception. Disasters 15(3):227–236

    Article  Google Scholar 

  • Green C, van der Veen A, Wierstra E, Penning-Rowsell El (1994) Vulnerability refined: analysing flood impacts. In: Penning-Rowsell EC, Fordham M (eds) Flood across Europe: flood hazard assessment, modelling and management. Middlesex University Press, London, pp 32–68

    Google Scholar 

  • Haque CE (1994) Flood prevention and mitigation in Bangladesh: the need for sustainable floodplain development. In: Goodland R, Edmundson V (eds) Environmental impact assessment and development. The World Bank, Washington, DC, pp 101–112

    Google Scholar 

  • Hay AM (1979) Sampling designs to test land-use map accuracy. Photogramm Eng Remote Sens 45(4):529–533

    Google Scholar 

  • Henderson FM, Lewis AJ (eds) (1998) Principles and applications of imaging radar. Wiley, New York

    Google Scholar 

  • Henderson FM, Chasan R, Hart TF Jr, Portolese J (1998) Variations in SAR signal response from coastal wetlands in a complex urban setting. In: Proceedings of the 2nd international workshop on retrieval of bio- and geo-physical parameters from SAR data for land applications, ESTEC, Noordwijk, The Netherlands, 21–23 October, pp 487–492

    Google Scholar 

  • Hess LL, Melack JM, Filoso S, Wang Y (1995) Delineation of inundated area and vegetation along the Amazon floodplain with SIR-C synthetic aperture radar. IEEE Trans Geosci Remote Sens 33(4):896–903

    Article  Google Scholar 

  • Horritt MS, Mason DC, Luckman AJ (2001) Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model. Int J Remote Sens 22(13):2489–2507

    Google Scholar 

  • Imhoff ML, Vermillion C, Story MH, Choudhury AM, Gafoor A, Polcyn F (1987) Monsoon flood boundary delineation and damage assessment using space borne imaging radar and Landsat data. Photogramm Eng Remote Sens 53(4):405–413

    Google Scholar 

  • Jensen JR (1979) Spectral and textural features to classify elusive land cover at the urban fringe. Prof Geogr 31(4):400–409

    Article  Google Scholar 

  • Krasovskaia I, Gottschalk L, Saelthun NR, Berg H (2001) Perception of the risk of flooding: the case of the 1995 flood in Norway. Hydrol Sci 46(6):855–868

    Article  Google Scholar 

  • Lee KH, Lunetta RS (1995) Wetlands detection methods. In: Lyon JG, McCarthy J (eds) Wetlands and environmental applications of GIS. CRC Press/Lewis Publishers, Boca Raton, pp 249–283

    Google Scholar 

  • Liu Z, Huang F, Liu L, Wan E (2002) Dynamic monitoring and damage evaluation of flood in north-west Jilin with remote sensing. Int J Remote Sens 23(18):3669–3679

    Article  Google Scholar 

  • Maidment DR (2002) Arc hydro: GIS for water resources. ESRI Press, Redlands

    Google Scholar 

  • Marco JB (1992) Flood risk mapping. In: Rossi G, Harmancioglu N, Yevjevich V (eds) Coping with floods. Kluwer Academic Publishers, Dordrecht, pp 353–373

    Google Scholar 

  • Martin TC, Haque I, Hassan A, Werle D, Titley B (1996) Multi-temporal satellite radar imagery for flood monitoring in Bangladesh. In: Proceedings of 26th international seminar on remote sensing of environment, Vancouver, Canada, 25–29 March 1996, pp 353–358

    Google Scholar 

  • Mason DC, Horritt MS, Dall’ Amico JT, Scott TR, Bates PD (2007) Improving river flood extent delineation from synthetic aperture radar using airborne laser altimetry. IEEE Trans Geosci Remote Sens 45(12):3932–3943

    Article  Google Scholar 

  • Mason DC, Speck R, Devereus B, Schumann GJ-P, Neal JC, Bates PD (2010) Flood detection in urban areas using TerraSAR-X. IEEE Trans Geosci Remote Sens 48(2):882–894

    Article  Google Scholar 

  • Masood M, Takeuchi K (2012) Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model. Nat Hazard. doi:10.1007/s11069-011-0060-x

  • Mcmillan A, Morley JG, Adams BJ, Chesworth S (2006) Identifying optimal SAR imagery specifications for urban flood monitoring: a hurricane Katrina case study. Paper presented at 4th international workshop on remote sensing for post-disaster response, Magdalene College, University of Cambridge, Cambridge, UK, 25–26 September

    Google Scholar 

  • Merz B, Kreibich H, Thieken A, Schmidtke R (2004) Estimation uncertainty of direct monetary flood damage to buildings. Nat Hazard Earth Syst Sci 4(1):153–163

    Article  Google Scholar 

  • Mirza MMQ (2011) Climate change, flooding in South Asia and implications. Reg Environ Chang 1(supp):95–107

    Article  Google Scholar 

  • Nuesch DR (1982) Classification of SAR imagery from an agricultural region using digital texture analysis. Int Soc Photogramm Remote Sens Int Arch 24-VII(1):231–240

    Google Scholar 

  • Oliver CJ (1991) Information from SAR images. J Phys D: Appl Phys 24:1493–1514

    Article  Google Scholar 

  • Parker DJ (2000) Floods, vol 1. Routledge, London

    Google Scholar 

  • Rahman AKM (2004) The impact of floods on major highways and mitigation options. In: Siddiqui KU, Hossain ANHA (eds) Options for flood risk and damage reduction in Bangladesh. The University Press Limited, Dhaka, pp 205–212

    Google Scholar 

  • Ramsey EW III (1995) Monitoring flooding in coastal wetlands by using radar imagery and ground based measurements. Int J Remote Sens 16(13):2495–2502

    Article  Google Scholar 

  • Ramsey EW III (1999) Radar remote sensing of wetlands. In: Lunetta RS, Elvidge CD (eds) Remote sensing change detection. Ann Harbor Press, Chelsea, pp 211–243

    Google Scholar 

  • Rosenfield GH, Fitzpatrick-Lins K (1986) A coefficient of agreement as a measure of thematic classification accuracy. Photogramm Eng Remote Sens 52(2):223–227

    Google Scholar 

  • Sado K, Islam MM (1997) Satellite remote sensing data analysis for flooded area and weather study-case study of Dhaka City, Bangladesh. Ann J Hydraul Eng 41:945–950

    Article  Google Scholar 

  • Sheng Y, Su Y, Xiao Q (1998) Challenging the could-contamination problem in flood monitoring with NOAA/AVHRR imagery. Photogramm Eng Remote Sens 64(3):191–198

    Google Scholar 

  • Smith DI (1994) Flood damage estimation – a review of urban stage-damage curves and loss functions. Water SA 20(3):231–238

    Google Scholar 

  • Smith LC (1997) Satellite remote sensing of river inundated area, stage and discharge: a review. Hydrol Process 11(10):1427–1439

    Article  Google Scholar 

  • Sokol J, Pultz TJ, Bulzgis V (2000) Monitoring wetland hydrology in Atlantic Canada using multi-temporal and multi-beam Radarsat data. In: Remote sensing and hydrology. International Association of Hydrological Sciences, Santa Fe, pp 536–538

    Google Scholar 

  • Solbø S, Solheim I (2004) Towards operational flood mapping with satellite SAR. In: Envisat/ERS symposium, Salzburg

    Google Scholar 

  • Solbø S, Pettinato S, Paloscia S, Santi E, Brusotti P, Solheim I (2004) Mapping of flooding in the Alessandria area with ERS. In: Proceedings of IGARSS 2004, pp 4689–4692

    Google Scholar 

  • Story M, Congalton RG (1986) Accuracy assessment: a user’s perspective. Photogramm Eng Remote Sens 52(3):397–399

    Google Scholar 

  • Su M-D, Kang J-L, Chang L-F, Chen AS (2005) A grid-based GIS approach to regional flood damage assessment. J Mar Sci Technol 13(3):184–192

    Google Scholar 

  • Townsend PA (2001) Mapping seasonal flooding in forested wetlands using multi-temporal RADARSAT SAR. Photogramm Eng Remote Sens 67(7):857–864

    Google Scholar 

  • Townshend JRG, Justice CO, Gurney C, Mcmanus J (1992) The impact of misregistration on change detection. IEEE Trans Geosci Remote Sens 30:1054–1060

    Article  Google Scholar 

  • Töyora J, Pietroniro A, Martz LW (2002) A multi-sensor approach to wetland flood monitoring. Hydrol Process 16(8):1569–1581

    Article  Google Scholar 

  • van der Sande CJ, de Jong SM, de Roo APJ (2003) A segmentation and classification of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment. Int J Appl Earth Observ Geoinf 4(3):217–229

    Article  Google Scholar 

  • Walker G, Burningham K (2011) Flood risk, vulnerability and environmental justice: evidence and evaluation of inequality in a UK context. Crit Soc Policy 31(2):216–240

    Article  Google Scholar 

  • Wang Y, Colby JD, Mulcahy KA (2002) An efficient method for mapping flood extent in a coastal floodplain using Landsat TM and DEM data. Int J Remote Sens 23(18):3681–3696

    Article  Google Scholar 

  • White GF (1964) Choice of adjustments to floods. Research paper no. 93. Department of Geography, University of Chicago, Chicago, IL

    Google Scholar 

  • Wind HG, Nierop TM, de Blois CJ, de Kok JL (1999) Analysis of flood damages from the 1993 and 1995 Meuse floods. Water Resour Res 35(11):3459–3465

    Article  Google Scholar 

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Dewan, A.M. (2013). Spatial and Temporal Distribution of Floods. In: Floods in a Megacity. Springer Geography. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5875-9_4

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