Abstract
Megacities with populations of more than ten million people in compact urban areas are the most vulnerable environments on the earth. The impacts of climate change on these megacities will be multi-faceted and severe, especially in developing countries, due to fast growth rate and inefficient adaptation. It is very important therefore to understand the contributions of the growth of megacities to climate change, especially in the developing countries. Dhaka, the capital of Bangladesh, is one of the fastest-growing megacities in the world; its population increased from 6.621 million (in 1990) to 16.982 million (in 2014). Today, Dhaka is the 11th largest megacity in the world and is projected to be the 6th largest megacity in the world with a population of 27.374 million by the year 2030.
Remote sensing technology has been successfully used for mapping, modeling, and assessing urban growth and associated environmental studies for many years. This research investigates how the intensity of the urban heat island (UHI) effects correlates with continuous decrease in the greenness of the city of Dhaka, as measured from satellite observations. The results of this study indicate that Landsat imagery-derived normalized difference vegetation index (NDVI) can be used to investigate the changes in greenness in the city of Dhaka from 1980 to 2014. The changes in greenness can be correlated with the increase in the intensity of UHI effects in the city of Dhaka as determined using Landsat thermal data from 1989 to 2014.
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References
Boone RB, Galvin KA, Lynn SJ (2000) Generalizing El Nino effects upon Maasai livestock using hierarchical clusters of vegetation patterns. Photogramm Eng Remote Sens 66:737–744
Chander G, Markham BL (2003) Revised Landsat-5 TM radiometric calibration procedures, and post-calibration dynamic ranges. IEEE Trans Geosci Remote Sens 41(11):2674–2677
Chander G, Markham BL, Helder DL (2009) Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens Environ 113:893–903
Coll C, Galve JM, Sánchez JM et al (2010) Validation of Landsat-7/ETM+ thermal-band calibration and atmospheric correction with ground-based measurements. IEEE Trans Geosci Remote Sens 48(1):547–555
EPA (2015) Heat island effect. http://www.epa.gov/heatisland/. Accessed 20 Apr 2015
Gurjar BR, Nagpure AS, Singh TP et al (2014) Air quality in Megacities. The encyclopedia of earth. http://www.eoearth.org/view/article/149934/. Accessed 26 Jan 2015
Hossain A (2013) Flood inundation and crop damage mapping: a method for modeling the impact on rural income and migration in humid deltas. In: Roger P Sr (ed) Climate vulnerability: understanding and addressing threats to essential resources, vol. 5. Elsevier, Academic Pres, p 357–374. http://store.elsevier.com/product.jsp?locale=en_US&isbn=9780123847034
Hossain A, Easson G (2011) Predicting shallow surficial failures in the Mississippi river levee system using airborne hyperspectral imagery. Geomatics Nat Hazards Risk 3(1):55–78
Kriegler FJ, Malila WA, Nalepka RF et al (1969) Preprocessing, transformations and their effects on multispectral recognition. In: Proceedings of the sixth international symposium on remote sensing of environment. University of Michigan, Ann Arbor, pp 97–131
Lawrence MG, Butler TM, Steinkamp J et al (2007) Regional pollution potentials of megacities and other major population centers. Atmos Chem Phys 7:3969–3987
Maher IS, Kubaisy MHA (2014) Automatic surface temperature mapping in ArcGIS using Landsat-8 TIRS and ENVI tools, case study: Al Habbaniyah lake. J Environ Earth Sci 4(12):12–17
New Scientist Magazine (2006) How big can cities get? 17 June 2006, p 41
Oke TR (1987) Boundary layer climates. Routledge, New York
Oke TR (1997) Urban climates and global environmental change. In: Thompson RD, Perry A (eds) Applied climatology: principles & practices. Routledge, New York, pp 273–287
Rouse JW, Haas RH, Schell JA et al (1973) Monitoring vegetation systems in the Great Plains with ERTS. In: Third ERTS Symposium, NASA SP-351 I, pp 309–317
Schubel JR, Levi C (2000) The emergence of megacities. Med Glob Surviv 6(2):107–110
United Nation (2014) World urbanization prospects, the 2014 revision. Department of Economic and Social Affairs, United Nations, New York
United Nations (1997) The state of world population 1996: changing places: population, development and the urban future. United Nations, New York
USGS (2014) Using the USGS Landsat 8 product. http://landsat.usgs.gov/Landsat8_Using_Product.php. Accessed 20 Apr 2015
World Resources Institute (1998) World resources 1996–97: a guide to the global environment: the urban environment. Oxford University Press, Oxford
Acknowledgments
Thanks are due to NASA and USGS for providing all the Landsat data used in this research at free of charge. Thanks are also due to the National Center for Computational Hydroscience and Engineering (NCCHE) and Mississippi Mineral Resources Institute (MMRI) at the University of Mississippi for providing all the logistics and computing facilities for conducting this research.
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Hossain, A.K.M.A., Easson, G. (2017). Potential Impacts of the Growth of a Mega City in Southeast Asia: A Case Study on the City of Dhaka, Bangladesh. In: Chen, WY., Suzuki, T., Lackner, M. (eds) Handbook of Climate Change Mitigation and Adaptation. Springer, Cham. https://doi.org/10.1007/978-3-319-14409-2_68
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DOI: https://doi.org/10.1007/978-3-319-14409-2_68
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