Simulating land cover changes and their impacts on land surface temperature in dhaka, bangladesh

Remote Sensing

Volumn 5, Issue 11, 2013, Pages 5969-5998

  Ahmed, Bayes ^a   Kamruzzaman, M D ^b   Zhu, Xuan ^c   Shahinoor Rahman, M D ^d   Choi, Keechoo ^e  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^c MONASH UNIVERSITY   (Australia)

^d BANGLADESH UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Bangladesh)

^e Ajou University   (South Korea)

Author keywords

Artificial neural network; Dhaka; Land cover change; Land surface temperature; Markov chain; NDVI; Urban heat island effect

Indexed keywords

DEVELOPING COUNTRIES; MARKOV PROCESSES; NEURAL NETWORKS; SATELLITE IMAGERY;

DHAKA; LAND SURFACE TEMPERATURE; LAND-COVER CHANGE; NDVI; URBAN HEAT ISLAND EFFECTS;

ATMOSPHERIC TEMPERATURE;

EID: 84904692791     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5115969     Document Type: Article

References (70)

1. He, F.; Liu, J.Y.; Zhuang, D.F.; Zhang, W.; Liu, M.L. Assessing the effect of land use-land cover change on the change of urban heat island intensity. J. Theor. Appl. Climatol. 2007, 90, 217-226.
2. Trenberth, K.E. Climatology (communication arising): Rural land-use change and climate. Nature 2004, 427, 213.
3. Patz, J.A.; Lendrum, D.C.; Holloway, T; Foley, J.A. Impact of regional climate change on human health. Nature 2005, 438, 310-317.
4. Kalnay, E.; Cai, M. Impact of urbanization and land-use change on climate. Nature 2003, 423, 528-531.
5. Chen, X.-L.; Zhao, H.-M.; Li, P.-X.; Yin, Z.-Y. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sens. Environ. 2006, 104, 133-146.
6. Lo, C.P.; Quattrochi, D.A. Land-use and land-cover change, urban heat island phenomenon, and health implications: A remote sensing approach. Photogramm. Eng. Remote Sens. 2003, 69, 1053-1063.
7. Deosthali, V. Impact of rapid urban growth on heat and moisture islands in Pune City, India. Atmos. Environ. 2000, 34, 2745-2754.
8. Mutizwa-Mangiza, N.D.; Arimah, B.C.; Jensen, I.; Yemeru, E.A.; Kinyanjui, M.K. Cities and Climate Change: Global Report on Human Settlements 2011, 1st ed.; Earthscan Ltd: London, UK, 2011; pp. 1-12.
9. Ye, H.; Wang, K.; Huang, S.; Chen, F.; Xiong, Y.; Zhao, X. Urbanisation effects on summer habitat comfort: A case study of three coastal cities in southeast China. Int. J. Sust. Dev. World 2010, 17, 317-323.
10. Howard, L. The climate of London. London Harvey Dorton 1833, 2, 1818-1820.
11. Liu, L.; Zhang, Y. Urban heat island analysis using the Landsat TM data and ASTER data: A Case study in Hong Kong. Remote Sens. 2011, 3, 1535-1552.
12. Streutker, D.R. A remote sensing study of the urban heat island of Houston, Texas. Int. J. Remote Sens. 2002, 23, 2595-2608.
13. Ohashi, Y.; Kida, H. Local circulations developed in the vicinity of both coastal and inland urban areas: A numerical study with a mesoscale atmospheric model. J. Appl. Meteor. 2002, 41, 30-45.
14. Souch, C.; Grimmond, S. Applied climatology: Urban climate. Prog. Phys. Geogr. 2006, 30, 270-279.
15. Jones, P.D.; Groisman, P.Y.; Coughlan, M.; Plummer, N.; Wang, W.; Karl, T.R. Assessment of urbanization effects in time series of surface air temperature over land. Nature 1990, 347, 169-172.
16. Sheng, J.; Wilson, J.P.; Lee, S. Comparison of land surface temperature (LST) modeled with a spatially-distributed solar radiation model (SRAD) and remote sensing data. Environ. Model. Softw. 2009, 24, 436-443.
17. Weng, Q.; Lu, D. A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States. Int. J. Appl. Earth Obs. Geoinf. 2008, 10, 68-83.
18. Rosenzweig, C.; Karoly, D.; Vicarelli, M.; Neofotis, P.; Wu, Q.; Casassa, G.; Menzel, A.; Root, T.L.; Estrella, N.; Seguin, B.; et al. Attributing physical and biological impacts to anthropogenic climate change. Nature 2008, 453, 353-357.
19. Oke, T.A. The Energetic Basis of the Urban Heat Island. Quart. J. Royal Meteor. Soc. 1982, 108, 1-24.
20. Ahmed, B. Urban land cover change detection analysis and modeling spatio-temporal Growth dynamics using Remote Sensing and GIS Techniques: A case study of Dhaka, Bangladesh. Master's Thesis, Erasmus Mundus Program, Universidade Nova de Lisboa (UNL), Instituto Superior de Estatística e Gestão de Informação (ISEGI), Lisbon, Portugal, 2011.
21. Lowry, W.P. Empirical estimation of urban effects on climate: A problem analysis. J. Appl. Meteor. 1977, 16, 129-135.
22. Karl, T.R.; Diaz, H.F.; Kukla, G. Urbanization: Its detection and effect in the United States climate record. J. clim. 1988, 1, 1099-1123.
23. Gallo, K.P.; Tarpley, J.D. The comparison of vegetation index and surface temperature composites for urban heat-island analysis. Int. J. Remote Sens. 1996, 17, 3071-3076.
24. Streutker, D.R. Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sens. Environ. 2003, 85, 282-289.
25. Fabrizi, R.; Bonafoni, S.; Biondi, R. Satellite and ground-based sensors for the urban heat island analysis in the City of Rome. Remote Sens. 2010, 2, 1400-1415.
26. Gallo, K.P.; Owen, T.W. Assessment of urban heat island: A multi-sensor perspective for the Dallas-Ft. Worth, USA region. Geocarto. Int. 1998, 13, 35-41.
27. Rinner, C.; Hussain, M. Toronto's urban heat island- Exploring the relationship between land use and surface temperature. Remote Sens. 2011, 3, 1251-1265.
28. Xiong, Y.; Huang, S.; Chen, F.; Ye, H.; Wang, C.; Zhu, C. The impacts of rapid urbanization on the thermal environment: A remote sensing study of Guangzhou, South China. Remote Sens. 2012, 4, 2033-2056.
29. Essa, W.; Verbeiren, B.; van der Kwast, J.; van de Voorde, T.; Batelaan, O. Evaluation of the DisTrad thermal sharpening methodology for urban areas. Int. J. Appl. Earth Obs. Geoinf. 2012, 19, 163-172.
30. ArcGIS® 10 Help; Environmental Systems Research Institute: Redlands, CA, USA, 2012. Available online: http://help.arcgis.com/en/arcgisdesktop/10.0/help/ (accessed on 15 December 2012).
31. Gao, B.C. NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens. Environ. 1996, 58, 257-266.
32. Maki, M.; Ishiahra, M.; Tamura, M. Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data. Remote Sens. Environ. 2004, 90, 441-450.
33. Zha, Y.; Gao, J.; Ni, S. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Remote Sens. 2003, 24, 583-594.
34. Zhao, H.M.; Chen, X.L. Use of normalized difference bareness index in quickly mapping bare areas from TM/ETM+. In proceedings of 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS'05, Seoul, Korea, 25-29 July 2005; pp. 1666-1668.
35. Kalnay, E.; Cai, M. Impact of urbanization and land-use change on climate. Nature 2003, 423, 528-531.
36. Weng, Q. A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. Int. J. Remote Sens. 2001, 22, 1999-2014.
37. Weng, Q.; Lu, D.; Liang, B. Urban surface biophysical descriptors and land surface temperature variations. Photogram. Eng. Remote Sens. 2006, 72, 1275-1286.
38. Xiao, R.-B.; Ouyang, Z.-Y.; Zheng, H.; Li, W.-F.; Schienke, E.W.; Wang, X.-K. Spatial patterns of impervious surfaces and their impact on land surface temperature in Beijing, China. J. Environ. Sci. 2007, 19, 250-256.
39. Weng, Q.; Yang, S. Managing the adverse thermal effects of urban development in a densely populated Chinese city. J. Environ. Manag. 2004, 70, 145-156.
40. Pontius, R.G., Jr.; Spencer, J. Uncertainty in extrapolations of predictive land change models. Environ. Plan. B 2005, 32, 211-230.
41. Silva, E.A.; Clarke, K.C. Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal. Comput. Environ. Urban Syst. 2002, 26, 525-552.
42. Hilferink, M.; Rietveld, P. Land Use Scanner: An integrated GIS based model for long term projections of land use in urban and rural areas. J. Geogr. Syst. 1999, 1, 155-177.
43. Verburg, P.H.; de Nijs, T.C.M.; van Eck, J.R.; Visser, H.; de Jong, K. A method to analyse neighbourhood characteristics of land use patterns. Comput. Environ. Urban Syst. 2004, 28, 667-690.
44. Castella, J.C.; Boissau, S.; Trung, T.N.; Quang, D.D. Agrarian transition and lowland-upland interactions in mountain areas in northern Vietnam: Application of a multi-agent simulation model. Agric. Syst. 2005, 86, 312-332.
45. Pijanowski, B.C.; Gage, S.H.; Long, D.T. A Land Transformation Model: Integrating Policy, Socioeconomics and Environmental Drivers using a Geographic Information System. In Landscape Ecology: A Top down Approach; Harris, L.; Sanderson, J., Eds.; CRC Press: Boca Raton, FL, USA, 2000; pp. 183-198.
46. Kok, K.; Veldkamp, T.A. Evaluating impact of spatial scales on land use pattern analysis in Central America. Agric. Ecosyst. Environ. 2001, 85, 205-221.
47. Balzter, H. Markov chain models for vegetation dynamics. Ecolog. Model. 2000, 126, 139-154.
48. Santé, I.; García, A.M.; Miranda, D.; Crecente, R. Cellular automata models for the simulation of real-world urban processes: A review and analysis. Landsc. Urban Plan. 2010, 96, 108-122.
49. McConnell, W.; Sweeney, S.P.; Mulley, B. Physical and social access to land: Spatio-temporal patterns of agricultural expansion in Madagascar. Agric. Ecosyst. Environ. 2004, 101, 171-184.
50. Civco, D.L. Artificial neural networks for land-cover classification and mapping. Int. J. Geogr. Inf. Sci. 1993, 7, 173-186.
51. Pontius, R.G., Jr.; Boersma, W.; Castella, J.-C.; Clarke, K.; de Nijs, T.; Dietzel, C.; Duan, Z.; Fotsing, E.; Goldstein, N.; Kok, K.; et al. Comparing the input, output, and validation maps for several models of land change. Ann. Reg. Sci. 2008, 42, 11-47.
52. Ahmed, B.; Ahmed, R. Modeling urban land cover growth dynamics using multi-temporal satellite images: A case study of Dhaka, Bangladesh. ISPRS Int. J. Geo-Inf. 2012, 1, 3-31.
53. Atkinson, P.M.; Tatnall, A.R.L. Introduction Neural networks in remote sensing. Int. J. Remote Sens. 1997, 18, 699-709.
54. Eastman, J.R. IDRISI Selva Tutorial; Clark University: Worcester, MA, USA, 2012; pp. 267-275.
55. Landsat 7 Science Data Users Handbook, 2010. National Aeronautics and Space Administration, 117-120. Landsat Project Science Office at NASA's Goddard Space Flight Center: Greenbelt, MD, USA, 2010.
56. Ahmed, B.; Ahmed, R.; Zhu, X. Evaluation of model validation techniques in land cover dynamics. ISPRS Int. J. Geo-Inf. 2013, 2, 577-597.
57. Cohen, J. A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 1960, 20, 37-46.
58. Chen, Y; Wang, J.; Li, X. A study on urban thermal field in summer based on satellite remote sensing. Remote Sens. Land Resour. 2002, 4, 55-59.
59. Basharin, G.P.; Langville, A.N.; Naumov, V.A. The life and work of A.A. Markov. Linear Algebra Appl. 2004, 386, 3-26.
60. Atkinson, P.M.; Tatnall, A.R.L. Introduction Neural networks in remote sensing. Int. J. Remote Sens. 1997, 18, 699-709.
61. Pijanowski, B.C.; Brown, D.G.; Manik, G.; Shellito, B. Using neural nets and GIS to forecast land use changes: A land transformation model. Comput. Environ. Urban Syst. 2002, 26, 553-575.
62. Pijanowski, B.C.; Pithadia, S.; Shellito, B.A.; Alexandridis, K. Calibrating a neural network-based urban change model for two metropolitan areas of the Upper Midwest of the United States. Int. J. Geogr. Inf. Sci. 2005, 19, 197-215.
63. Khoi, D.D.; Murayama, Y. Forecasting areas vulnerable to forest conversion in the Tam Dao National Park Region, Vietnam. Remote Sens. 2010, 2, 1249-1272.
64. Eastman, J.R. IDRISI Selva Manual; Clark University: Worcester, MA, USA, 2012.
65. Eastman, J.R.; Jin, W.; Kyem, P.A.K.; Toledano, R. Raster procedures for multi-criteria/ multi-objective decisions. Photogramm. Eng. Remote Sens. 1995, 61, 539-547.
66. Tewolde, M.G.; Cabral, P. Urban sprawl analysis and modeling in Asmara, Eritrea. Remote Sens. 2011, 3, 2148-2165.
67. Zeug, G.; Eckert, S. Population growth and its expression in spatial built-up patterns: The Sana'a, Yemen case study. Remote Sens. 2010, 2, 1014-1034.
68. Ren, G.Y.; Chu, Z.Y.; Chen, Z.H.; Ren, Y.Y. Implications of temporal change in urban heat island intensity observed at Beijing and Wuhan stations. Geophys. Res. Lett. 2007, 34, L05711.
69. Park, H.-S. Features of the heat island in Seoul and its surrounding cities. Atmos. Environ. 1986, 20, 1859-1866.
70. Kibert, C.J. Sustainable Construction: Green Building Design and Delivery; 3rd ed.; John Wiley and Sons, Inc: Hoboken, NJ, USA, 2012; p. 236.