Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran

Egyptian Journal of Remote Sensing and Space Science

Volumn 18, Issue 1, 2015, Pages 35-52

  Dadras, Mohsen ^a,b   Shafri, Helmi Z M ^a   Ahmad, Noordin ^a   Pradhan, Biswajeet ^a   Safarpour, Sahabeh ^c  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c SCHOOL OF PHYSICS   (Malaysia)

Author keywords

Bandar Abbas; Iran; Remote sensing; Spatio statistical models; Urban growth; Urban sprawl

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; DEGREES OF FREEDOM (MECHANICS); POPULATION STATISTICS; PROBABILITY DISTRIBUTIONS; REMOTE SENSING; SATELLITE IMAGERY;

BANDAR ABBAS; CHI-SQUARE DISTRIBUTION; GIS AND REMOTE SENSING; GROWTH AND DEVELOPMENT; HIGH DEGREE OF FREEDOM; IRAN; SPATIOTEMPORAL ANALYSIS; URBAN SPRAWL;

URBAN GROWTH;

AERIAL PHOTOGRAPHY; GIS; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; URBAN DEVELOPMENT; URBAN GROWTH;

BANDAR ABBAS; HORMOZGAN; IRAN;

EID: 84943359215     PISSN: 11109823     EISSN: 20902476     Source Type: Journal    
DOI: 10.1016/j.ejrs.2015.03.005     Document Type: Article

References (68)

1. Al-Awadhi, T., 2007. Monitoring and modeling urban expansion using GIS and RS: Case study from Muscat, Oman. In: Proceedings of Urban Remote Sensing Joint Event. 11-13 April, 2007, Paris, France.
2. Alberti, M., 2005. The effects of urban patterns on ecosystem function. Int. Reg. Sci. Rev. 28 (2), 168-192.
3. Almeida, C.M., Monteiro, A.M.V., Mara, G., Soares-Filho, B.S., Cerqueira, G.C., Pennachin, C.S.L., 2005. GIS and remote sensing as tools for the simulation of urban land-use change. Int. J. Remote Sens. 26 (4), 759-774.
4. Angel, S., Sheppard, S.C., Civco, D.L., 2005. The dynamics of Global Urban Expansion. Available from. Washington D.C.: Transport and Urban Development Department, The World Bank. .
5. Belal, A.A., Moghanm, F.S., 2011. Detecting urban growth using remote sensing and GIS techniques in Al Gharbiya governorate. Egypt. J. Remote Sens. Space Sci. 14, 73-79.
6. Barnes, K.B., Morgan, J.M., III, Roberge, M.C., Lowe, S., 2001. Sprawl Development: Its Patterns, Consequences, and Measurement. A White Paper. Available from: Towson University (accessed 10.01.07).
7. Batisani, N., Yarnal, B., 2009. Urban expansion in centre county, Pennsylvania: spatial dynamics and landscape transformations. Appl. Geogr. 29 (2), 235-249.
8. Batty, M., Howes, D., 2001. Predicting temporal patterns in urban development from remote imagery. In: Donnay, J.P., Barnsley, M.J., Longley, P.A. (Eds.), Remote Sensing and Urban Analysis. Taylor & Francis, London, pp. 185-204.
9. Batty, M., Xie, Y., 1997. Possible urban automata. Environ. Plann. B 24, 175-192.
10. Belkina, T.D., 2007. Diagnosing urban development by an indicator system. Stud. Russ. Econ. Dev. 18 (2), 162-170.
11. Benati, S., 1997. A cellular automaton for the simulation of competitive location. Environ. Plann. B. 24, 205-218.
12. Bhatta, B., 2009a. Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India. Int. J. Remote Sens. http://dx.doi.org/10.1080/01431160802651967.
13. Bhatta, B., 2009c. Modelling of urban growth boundary using geoinformatics. Int. J. Digit. Earth. http://dx.doi.org/10.1080/17538940902971383.
14. Bhatta, B., 2010. Analysis of Urban Growth and Sprawl from Remote Sensing Data. Springer-Verlag, Berlin, Heidelberg.
15. Bhatta, B., Saraswati, S., Bandyopadhyay, D., 2010. Quantifying the degree-of-freedom, degree-of-sprawl, and degree-of-goodness of urban growth from remote sensing data. Appl. Geogr. 30 (1), 96-111.
16. Bonham-Carter, G.F., 1994. Geographic Information Systems for Geoscientists: Modelling with GIS. Pergamon, Ontario, p. 398.
17. Chen, C., 2003. Frontiers of Remote Sensing Information Processing. World Scientific, p. 614.
18. Cho, S., Lambert, D.M., Roberts, R.K., Kim, S.G., 2010. Moderating urban sprawl: is there a balance between shared open space and housing parcel size? J. Econ. Geogr. 10 (5), 763-783.
19. Clark, D., 1982. Urban Geography: An Introductory Guide. Taylor & Francis, p. 231.
20. Clark, W.A., Hosking, P.L., 1986. Statistical Methods for Geographers. John Wiley and Sons, New York, 518 pp.
21. Clarke, K.C., Hoppen, S., Gaydos, L., 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environ. Plann. B. 24, 247-261.
22. Deadman, P.D., Brown, R.D., Gimblett, H.R., 1993. Modelling rural residential settlement patterns with cellular automata. J. Environ. Manage. 37, 147-160.
23. Deep, S., Saklani, A., 2014. Urban sprawl modeling using cellular automata. Egypt. J. Remote Sens. Space Sci. 17, 179-187.
24. Deng, J., Wang, K., Hong, Y., Jia, G., 2009. Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization. Landscape Urban Plann. 92, 187-198.
25. Dewan, A.M., 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.
26. Donnay, J.P., Barnsley, M.J., Longley, P.A., 2001. Remote sensing and urban analysis. In: Donnay, J.P., Barnsley, M.J., Longley, P.A. (Eds.), Remote Sensing and Urban Analysis. Taylor and Francis, London and New York, pp. 3-18.
27. Farhoudi, R., Zanganeh, S.S., Saed Moucheshi, R., 2009. Spatial distribution of population in Iranian urban system. Q. Geogr. Res. 68, 55-68.
28. Fotheringham, A.S., Wegener, M., 2000. Spatial Models and GIS: New Potential and New Models. Taylor and Francis, London, p. 279.
29. Galster, G., Hanson, R., Wolman, H., Coleman, S., Freihage, J., 2001. Wrestling sprawl to the ground: defining and measuring an elusive concept. House Policy Debate 12 (4), 681-717.
30. Griffith, D.A., 1988. Advanced Spatial Statistics: Special Topics in the Exploration of Quantitative Spatial Data Series. Kluwer, Dordrecht.
31. Hasna, A.M., 2007. Dimensions of sustainability. J. Eng. Sustainable Dev. Energy Environ. Health 2 (1), 47-57.
32. Hedblom, M., Soderstrom, B., 2008. Woodlands across Swedish urban gradients: status, structure and management implications. Landscape Urban Plann. 84, 62-73.
33. Herold, M., Clarke, K.C., Scepan, J., 2002. Remote sensing and landscape metrics to describe structures and changes in urban land use. Environ. Plann. A. 34 (8), 1443-1458.
34. Herold, M., Goldstein, N.C., Clarke, K.C., 2003. The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sens. Environ. 86, 286-302.
35. Herold, M., Hemphill, J., Dietzel, C., Clarke, K.C., 2005. Remote sensing derived mapping to support urban growth theory. Tempe, AZ, USA, March 14-16, 2005. Available from: Proceedings of the ISPRS joint conference 3rd International Symposium Remote Sensing and Data Fusion Over Urban Areas, and 5th International Symposium Remote Sensing of Urban Areas (URS 2005). .
36. Iranian Statistic Center (2012). Census data. Tehran, Iran.
37. Iqbal, M.F., Khan, I.A., 2014. Spatiotemporal land use land cover change analysis and erosion risk mapping of Azad Jammu and Kashmir, Pakistan. Egypt. J. Remote Sens. Space Sci. 17, 209-229.
38. Ismail, M.H., Jusoff, K., 2008. Satellite data classification accuracy assessment based from reference dataset. Int. J. Comput. Inf. Sci. Eng. 2 (2), 96-102, .
39. Kumar, J.A.V., Pathan, S.K., Bhanderi, R.J., 2007. Spatio-temporal analysis for monitoring urban growth - a case study of Indore city. J. Indian Soc. Remote Sens. 35 (1), 11-20.
40. Landis, J., Zhang, M., 2000. Using GIS to improve urban activity and forecasting models: three examples. In: Fotheringham, A.S., Wegener, M. (Eds.), Spatial Models and GIS: New Potential and New Models. Taylor and Francis, London, pp. 63-81.
41. Lassila, K.D., 1999. The new suburbanites: how American plants and animals are threatened by the sprawl. Amic J. 21, 16-22.
42. Lata, K.M., Rao, C.H.S., Prasad, V.K., Badarianth, K.V.S., Rahgavasamy, V., 2001. Measuring urban sprawl: a case study of Hyderabad. GIS Dev. 5 (12), 26-29.
43. Litman, T., 2007. Evaluating Criticism of Smart Growth. Victoria Transport Policy Institute.
44. Li, X., Yeh, A.G.O., 2002. Neural-network-based cellular automata for simulating multiple land use changes using GIS. Int. J. Geogr. Sci. 16, 323-343.
45. Li, X., Yeh, A.G.O., 2004. Analyzing spatial restructuring of land use patterns in a fast growing region remote sensing and GIS. Landscape Urban Plann. 69, 335-354.
46. Liu, J.G., 2000. Smoothing filter-based intensity modulation: a spectral preserve image fusion technique for improving spatial details. Int. J. Remote Sens. 21 (18), 3461-3472.
47. López Sándoval, M.F., 2004. Agricultural and Settlement Frontiers in the Tropical Andes: The Páramo Belt of Northern Ecuador, 1960-1990. Regensburger Geographische Schriften. Heft 37. Institut fur Geographie an der Universitat Regensburg, Germany.
48. Martinuzzi, S., Gould, W.A., Gonzalez, O.M.R., 2007. Land development, land use, and urban sprawl in Puerto Rico integrating remote sensing and population census data. Landscape Urban Plann. 79, 288-297.
49. Muñiz, I., Calatayud, D., García, M.A., 2007. Sprawl causes and effects of urban dispersion. In: Indovina, F. (Ed.), The Low Density City. Diputació de Barcelona, (cord), Barcelona, p. 307e347.
50. Páez, A., Scott, D.M., 2004. Spatial statistics for urban analysis: a review of techniques with examples. Geo J. 61, 53-67.
51. Pathan, S.K., Shukla, V.K., Patel, R.G., Mehta, K.S., 1991. Urban land-use mapping: a case study of Ahmedabad city and its environs. J. Indian. Soc. Remote Sens. 19 (2), 95-112.
52. Pendall, R., 1999. Do land-use controls cause sprawl? Environ. Plann. B. 26 (4), 555-571.
53. Portugali, J., Benenson, I., Omer, I., 1997. Spatial cognitive dissonance and sociospatial emergence in a self-organizing city. Environ. Plann. B. 24, 263-285.
54. Rafiee, R., Salman Mahiny, A., Khorasani, N., Darvishsefat, A., Danekar, A., 2009. Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM). Cities 26, 19-26.
55. Richardson, H.W., Bae, C.C., Baxamusa, M.H., 2000. Compact cities in developing countries: assessment and implications. In: Jenks, M., Burgess, R. (Eds.), Compact Cities: Sustainable Urban Forms for Developing Countries. Spon Press, London and New York, p. 25.
56. Serra, P., Pons, X., Saurí, D., 2003. Post-classification change detection with data from different sensors: some accuracy considerations. Int. J. Remote Sens. 24, 3311-3340.
57. Shahi, K., Shafri, H.Z.M., Taherzadeh, E., Mansor, S., Muniandy, R., 2015. A novel spectral index to automatically extract road networks from World View-2 satellite imagery. Egypt. J. Remote Sens. Space Sci. 18 (1), 27-33.
58. Soares, B.S., Cerqueira, G.C., Pennachin, C.L., 2002. DINAMICA - a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecol. Model. 154, 217-235.
59. Sudhira, H.S., Ramachandra, T.V., Jagadish, K.S., 2004. Urban sprawl: metrics, dynamics and modelling using GIS. Int. J. Appl. Earth Observ. 5, 29-39.
60. Taha, L.G., 2014. Assessment of urbanization encroachment over Al-Monib island using fuzzy post classification comparison and urbanization metrics. Egypt. J. Remote Sens. Space Sci. 17, 135-147.
61. Turner, M., 2007. A simple theory of smart growth and sprawl. J. Urban Eco. 61, 21-44.
62. United Nation, 2014. World Urbanization Prospects: The 2014 revision. .
63. Wang, W., Zhu, L., Wang, R., Shi, Y., 2003. Analysis on the spatial distribution variation characteristic of urban heat environmental quality and its mechanism - a case study of Hangzhou City. Chin. Geogr. Sci. 13 (1), 39-47.
64. Weng, Q., 2001. A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. Int. J. Remote Sens. 22 (10), 1999-2014.
65. White, R., Engelen, G., 2000. High resolution integrated modeling of the spatial dynamics of urban and regional systems. Comput. Environ. Urban Syst. 24, 383-400.
66. Yanos, P.T., 2007. Beyond "Landscapes of Despair": the need for new research on the urban environment, sprawl, and the community integration of persons with severe mental illness. Health Place 13, 672-676.
67. Yeh, A.G., Li, X., 2001. Measurement and monitoring of urban sprawl in a rapidly growing region using entropy. Photogramm. Eng. Remote Sens. 67, 83-90.
68. Zanganeh, S.S., Sauri, D., Serra, P., Modugno, S., Seifolddini, F., Pourahmad, A., 2011. Urban sprawl pattern and land-use change detection in Yazd, Iran. Habitat Int. 35, 521-528.