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2013 | OriginalPaper | Chapter

4. Spatial and Temporal Distribution of Floods

Author : Ashraf M. Dewan

Published in: Floods in a Megacity

Publisher: Springer Netherlands

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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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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

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

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

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

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

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

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

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):193–200CrossRef

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):89–98CrossRef

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

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

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

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

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

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

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

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

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):44–54CrossRef

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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):896–903CrossRef

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

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

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

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):855–868CrossRef

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

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):3669–3679CrossRef

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

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

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

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):3932–3943CrossRef

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):882–894CrossRef

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

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):153–163CrossRef

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

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

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

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

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

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

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

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

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 41:945–950CrossRef

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

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

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

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

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

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

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

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

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

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

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

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):217–229CrossRef

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):216–240CrossRef

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):3681–3696CrossRef

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

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):3459–3465CrossRef

Title: Spatial and Temporal Distribution of Floods
Author: Ashraf M. Dewan
Publisher: Springer Netherlands
Book: Floods in a Megacity
Print ISBN: 978-94-007-5874-2

Electronic ISBN: 978-94-007-5875-9

Copyright Year: 2013
DOI: https://doi.org/10.1007/978-94-007-5875-9_4

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