Remote sensing analysis for flood risk management in urban sprawl contexts

References

• Ajmar A, Boccardo P, Disabato F, Tonolo FG, Perez F, Sartori G. 2008. Early impact procedures for flood events. February 2007 Mozambique flood. Italian J Remote Sensing. 40:65–77.
   Google Scholar
• Akbari M, Mamanpoush AR, Gieske A, Miranzadeh M, Torabi M, Salemi HR. 2006. Crop and land cover classification in Iran using Landsat 7 imagery. Int J Remote Sensing. 27:4117–4135.
   Web of Science ®Google Scholar
• Almutairi A, Warner TA. 2010. Change detection accuracy and image properties: a study using simulated data. Remote Sensing. 2:1508–1529.
   Web of Science ®Google Scholar
• Bagan H, Takeuchi W, Kinoshita T, Bao Y, Yamagata Y. 2010. Land cover classification and change analysis in the Horqin sandy land from 1975 to 2007. IEEE J Selected Top Appl Earth Observations Remote Sensing. 3:168–177.
   Web of Science ®Google Scholar
• Bagan H, Yamagata Y. 2012. Landsat analysis of urban growth: how Tokyo became the world's largest megacity during the last 40 years. Remote Sensing Environ. 127:210–222.
   Web of Science ®Google Scholar
• Bangladesh Disaster & Emergency Response (DER) Sub-Group (BD). 2004. Monsoon floods 2004 – post-flood needs assessment. Dhaka, Bangladesh.
   Google Scholar
• Boccardo P, Tonolo FG. 2008. Advances in photogrammetry, remote sensing and spatial information sciences: 2008 ISPRS congress book. In: Li Z, Chen J, Baltsavias E, editors. Natural disaster management activities in support of the UN system. London: Taylor & Francis Group; Chapter 28, p. 385–396.
   Google Scholar
• Coppin P, Jonckheere I, Nackaerts K, Muys B. 2004. Digital change detection methods in ecosystem monitoring: a review. Int J Remote Sensing. 25:1565–1596.
   Web of Science ®Google Scholar
• Del Ninno C, Dorosh PA, Smith LC, Roy DK. 2001. The 1998 floods in Bangladesh: disaster impacts, household coping strategies, and responses. Washington (DC): International Food Policy Research Institute.
   Google Scholar
• Dewan AM, Alam M, Nishigaki M. 2005. Remote sensing of 1998 and 2000 floods in Greater Dhaka, Bangladesh: experiences from catastrophic and normal events. J Fac Environ Sci Technol. 10:57–65.
   Google Scholar
• Dewan AM, Yamaguchi Y. 2009. Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Appl Geogr. 29:390–401.
   Web of Science ®Google Scholar
• Frazier PS, Page KJ. 2000. Water body detection and delineation with Landsat TM data. Photogramm Eng Remote Sensing. 66:1461–1468.
   Web of Science ®Google Scholar
• Hayes DJ, Sader SA. 2001. Comparison of change-detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series. Photogrammetry Eng Remote Sensing. 67:1067–1075.
   Web of Science ®Google Scholar
• Jianya G, Haigang S, Guorui M, Qiming Z. 2008. A review of multi-temporal remote sensing data change detection algorithms. Int Arch Photogrammetry Remote Sensing Spatial Inf Sci. XXXVII:757–762.
   Google Scholar
• Kamal M, Midorikawa S. 2004. GIS-based geomorphological mapping using remote sensing data and supplementary geoinformation: a case study of the Dhaka city area, Bangladesh. Int J Appl Earth Observation. 6:111–125.
   Google Scholar
• Khan I. 2000. Temporal mapping and spatial analysis of land transformation due to urbanization and its impact on surface water system: a case from Dhaka metropolitan area, Bangladesh. Int Arch Photogrammetry Remote Sensing. XXXIII:598–605.
   Google Scholar
• Kilic S, Evrendilek F, Berberoglu S, Demirkesen AC. 2006. Environmental monitoring of land-use and land-cover changes in a Mediterranean region of Turkey. Environ Monit Assess. 114:157–168.
   PubMed Web of Science ®Google Scholar
• Lu D, Mausel P, Brondízio E, Moran E. 2004. Change detection techniques. Int J Remote Sens. 25:2365–2407.
   Web of Science ®Google Scholar
• Maktav D, Erbek FS, Jürgens C. 2005. Remote sensing of urban areas. Int J Remote Sensing. 26:655–659.
   Web of Science ®Google Scholar
• Nirupama N, Simonovic SP. 2006. Increase of flood risk due to urbanisation: a Canadian example. Nat Hazards. 40:25–41.
   Web of Science ®Google Scholar
• Singh A. 1989. Review article digital change detection techniques using remotely-sensed data. Int J Remote Sensing. 10:989–1003.
   Web of Science ®Google Scholar
• Song C, Woodcock CE, Seto KC, Lenney MP, Macomber SA. 2001. Classification and change detection using Landsat TM data: when and how to correct atmospheric effects? Remote Sensing Environ. 75:230–244.
   Web of Science ®Google Scholar
• United Nations, Department of Economic and Social Affairs, Population Division (US). 2012. World Urbanization Prospects – the 2011 Revision: Highlights. New York (NY).
   Google Scholar
• United Nations Human Settlements Programme - UN-HABITAT (UK and US). 2006. The state of the world's cities report 2006/2007. Oxford (UK): Earthscan.
   Google Scholar
• United Nations University, Institute of Environment and Human Security - UNU-EHS (NL). 2011. World Risk Report 2011. Berlin: Bündnis Entwicklung Hilft (Alliance Development Works).
   Google Scholar
• Xu H, Huang S, Zhang T. 2013. Built-up land mapping capabilities of the ASTER and Landsat ETM+ sensors in coastal areas of southeastern China. Adv Space Res. 52:1437–1449.
   Web of Science ®Google Scholar
• Yuan F, Sawaya KE, Loeffelholz BC, Bauer ME. 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sensing Environ. 98:317–328.
   Web of Science ®Google Scholar
• Yüksel A, Akay AE, Gundogan R. 2008. Using ASTER imagery in land use/cover classification of eastern Mediterranean landscapes according to CORINE land cover project. Sensors. 8:1237–1251.
   PubMed Web of Science ®Google Scholar
• Zhang H, Ma W, Wang X. 2008. Rapid urbanization and implications for flood risk management in Hinterland of the Pearl River Delta, China: the Foshan study. Sensors. 8:2223–2239.
   PubMed Web of Science ®Google Scholar