LULC analysis of urban spaces using Markov chain predictive model at Ranchi in India

Spatial Information Research

Volumn 25, Issue 3, 2017, Pages 351-359

  Ahmad, Firoz ^a   Goparaju, Laxmi ^a   Qayum, Abdul ^b  

^a Vindhyan Ecology and Natural History Foundation   (India)

^b Department of Environment and Forests   (India)

Author keywords

Geographic information system; Land use land cover change; Markov transition matrix; Remote sensing data; Satellite imagery

Indexed keywords

IMAGE ANALYSIS; INFORMATION USE; LAND USE; LANDSAT; MARKOV PROCESSES; MATRIX ALGEBRA; REMOTE SENSING; SUSTAINABLE DEVELOPMENT; URBAN GROWTH;

LAND COVER ANALYSIS; LAND USE AND LAND COVER; LAND USE AND LAND COVER CHANGE; LAND-USE LAND-COVER CHANGES; MARKOV TRANSITION MATRICES; PREDICTIVE MODELS; REMOTE SENSING DATA; URBAN AREAS; URBAN EXPANSION; URBAN SPACES;

GEOGRAPHIC INFORMATION SYSTEMS;

EID: 85037845196     PISSN: 23663286     EISSN: 23663294     Source Type: Journal    
DOI: 10.1007/s41324-017-0102-x     Document Type: Article

References (48)

1. Parker, D. C., Manson, S. M., Janssen, M. A., Hoffmann, M. J., & Deadman, P. (2002). Multiagent system for the simulation of land-use and land-cover change: A review. Annals of the Association of American Geographers, 93, 314–337. DOI: 10.1111/1467-8306.9302004
2. Verburg, P. H., de Groot, W. T., & Veldkamp, A. J. (2003). Methodology for multi-scale land use change modeling: Concepts and challenges. In A. J. Dolman & A. Verhagen (Eds.), Global environmental change and land use (pp. 17–51). Dordrecht: Kluver Academic Publishers. DOI: 10.1007/978-94-017-0335-2_2
3. Wu, J. (2004). Effects of changing scale on landscape pattern analysis: Scaling relations. Landscape Ecology, 19, 125–138. DOI: 10.1023/B:LAND.0000021711.40074.ae
4. Hauser, P. N., Gardner, R. W., Laquian, A. A., & El-Shakhs, S. (1982). Population and the urban future. Albany: State University of New YorkPress.
5. United Nations. (2014). World population data sheet—population reference Bureau. http://www.un.org/en/development/desa/news/population/world-urbanization-prospects-2014.html. Accessed August 20, 2016
6. Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., et al. (2001). The causes of land-use and land-cover change: Moving beyond the myths. Global Environmental Change Human and Policy Dimensions, 11(4), 261–269. DOI: 10.1016/S0959-3780(01)00007-3
7. Mahmood, R., Pielke, R. A., Hubbard, K. G., Niyogi, D., et al. (2010). Impacts of land use/land cover change on climate and future research priorities. Bulletin of the American Meteorological Society, 91(1), 37–46. DOI: 10.1175/2009BAMS2769.1
8. Yu, W., Zang, S., Wu, C., Liu, W., & Na, X. (2011). Analyzing and modeling land use land cover change (LUCC) in the Daqing city, China. Applied Geography, 31(2), 600–608. DOI: 10.1016/j.apgeog.2010.11.019
9. Srivastava, S., Singh, T. P., Singh, H., Kushwaha, S. P. S., & Roy, P. S. (2002). Assessment of large-scale deforestation in Sonitpur district of Assam. Current Science, 82(12), 1479–1484.
10. Yamamura, Y., Amano, T., Koizumi, T., Mitsuda, Y., Taki, H., & Okabe, K. (2009). Does land-use change affect biodiversity dynamics ata macro-ecological scale? A case study of birds over the past 20 years in Japan. Animal Conservation, 12(2), 110–119. DOI: 10.1111/j.1469-1795.2008.00227.x
11. Islam, K. R., & Weil, R. R. (2000). Land use effects on soil quality in a tropical forest ecosystem of Bangladesh. Agriculture, Ecosystems & Environment, 79(1), 9–16. DOI: 10.1016/S0167-8809(99)00145-0
12. Wu, K., & Zhang, H. (2012). Land use dynamics, built-up land expansion patterns, and driving forces analysis of the fast-growing Hangzhou metropolitan area, eastern China (1978–2008). Applied Geography, 34, 137–145. DOI: 10.1016/j.apgeog.2011.11.006
13. Foley, J. A., De Fries, R., Asner, G. P., Barford, C., et al. (2005). Global consequences of land use. Science, 309(5734), 570–574. DOI: 10.1126/science.1111772
14. Xian, G., Crane, M., & Su, J. (2007). An analysis of urban development and its environmental impact on the Tampa Bay watershed. Journal of Environmental Management, 85(4), 965–976. DOI: 10.1016/j.jenvman.2006.11.012
15. Quetier, F., Lavorel, S., Thuiller, W., & Davies, I. (2007). Plant-trait-based modeling assessment of ecosystem-service sensitivity to land-use change. Ecological Applications, 17(8), 2377–2386. DOI: 10.1890/06-0750.1
16. 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 of Environment, 127, 210–222. DOI: 10.1016/j.rse.2012.09.011
17. Patino, J. E., & Duque, J. C. (2013). A review of regional science applications of satellite remote sensing in urban settings. Computers, Environment and Urban Systems, 37, 1–17. DOI: 10.1016/j.compenvurbsys.2012.06.003
18. Taubenbock, H., Esch, T., Felbier, A., Wiesner, M., Roth, A., & Dech, A. (2012). Monitoring urbanization in mega cities from space. Remote Sensing of Environment, 117, 162–176. DOI: 10.1016/j.rse.2011.09.015
19. Van der Meer, F., Schmidt, K. S., Bakker, A., & Bijker, W. (2002). New environmental RS systems. In A. K. Skidmore (Ed.), Environmental modeling with GIS and RS (pp. 26–51). London: Taylor & Francis. DOI: 10.1201/9780203302217.ch3
20. Bhatta, B., Saraswati, S., & Bandyopadhyay, D. (2010). Urban sprawl measurement from remote sensing data. Applied Geography, 30, 731–740. DOI: 10.1016/j.apgeog.2010.02.002
21. Petit, C., Scudder, T., & Lambin, E. (2001). Quantifying processes of land-cover change by remote sensing: Resettlement and rapid land-cover changes in south-eastern Zambia. International Journal of Remote Sensing, 22(17), 3435–3456. DOI: 10.1080/01431160010006881
22. Muller, M. R., & Middleton, J. (1994). A Markov model of land-use change dynamics in the Niagara Region, Ontario, and Canada. Landscape Ecology, 9(2), 151–157.
23. Coppedge, B. R., Engle, D. M., & Fuhlendorf, S. D. (2007). Markov models of land cover dynamics in a southern Great Plains grass land region. Landscape Ecology, 22, 1383–1393. DOI: 10.1007/s10980-007-9116-4
24. Tang, J., Wang, L., & Yao, Z. (2007). Spatio-temporal urban landscape change analysis using the Markov chain model and a modified genetic algorithm. International Journal of Remote Sensing, 15(10), 3255–3271. DOI: 10.1080/01431160600962749
25. Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4, 117–124. DOI: 10.1016/j.ijsbe.2015.02.005
26. Corner, R. J., Dewan, A. M., & Chakma, S. (2013). Monitoring and prediction of land-use and land-cover (LULC) change megacity. In: Dhaka megacity, geospatial perspectives on urbanisation, environment and health. Part of the series (pp. 75–97). Springer Geography. doi:10.1007/978-94-007-6735-5_5.
27. Moghadam, H. S., & Helbich, M. (2013). Spatiotemporal urbanization process in mega city of Mumbai, India: A Markov chains-cellular automata urban growth model. Applied Geography, 40, 140–149. DOI: 10.1016/j.apgeog.2013.01.009
28. Mallupattu, P. K., & Reddy, J. R. S. (2013). Analysis of landuse/land cover changes using remote sensing data and GIS at an Urban Area, Tirupati, India. The Scientific World Journal. doi:10.1155/2013/268623.
29. Ramesh, B. R., Menon, S., & Bawa, K. S. (1997). A vegetated based approach to biodiversity gap analysis in the Agastyamalai region, Western Ghats, India. Ambio, 26, 529–536.
30. Jha, C. S., Dutt, C. B. S., & Bawa, K. S. (2000). Deforestation and land use changes in Western Ghats, India. Current Science, 79, 231–238.
31. Behera, M. D., Borate, S. N., Panda, S. N., Behera, P. R., & Roy, P. S. (2012). Modeling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model–A geo-information based approach. Journal of Earth System Science, 121(4), 1011–1024. DOI: 10.1007/s12040-012-0207-5
32. Ahmad, F., & Goparaju, L. (2016). Analysis of urban sprawl dynamics using geospatial technology in Ranchi City, Jharkhand, India. Journal of Environmental Geography, 9(1–2), 7–13.
33. Kumar, A., Pandey, A. C., Hoda, N., & Jeyaseelan, A. T. (2011). Evaluation of urban sprawl pattern in the tribal-dominated cities of Jharkhand state, India. International Journal of Remote Sensing, 32, 7651–7675. DOI: 10.1080/01431161.2010.527391
34. Starck, J. L., Murtagh, F., & Bijaoui, A. (1998). Image processing and data analysis: The multi-scale approach. Cambridge: Cambridge University Press. DOI: 10.1017/CBO9780511564352
35. Bolstad, P. V., & Lillesand, T. D. (1991). Rapid maximum likelihood classification. Photogrammetric Engineering & Remote Sensing, 57(1), 67–74.
36. Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of the Environment, 8, 127–150. DOI: 10.1016/0034-4257(79)90013-0
37. Manandhar, R., Odeh, I. O. W., & Ancev, T. (2009). Improving the accuracy of land use and land cover classification of landsat data using post-classification enhancement. Remote Sensing, 1, 330–344. doi:10.3390/rs1030330. DOI: 10.3390/rs1030330
38. Anderson, J. R., Hardy, E. E., Roach, J. T., & Witmer, R. E. (1976). A land use and land cover classification system for use with remote sensor data. Washington, DC: United States Government Printing Office.
39. Lillesand, T. M., & Kiefer, R. W. (1999). Remote sensing and image interpretation. New York: Wiley.
40. Islam, M. A., Rai, R., & Quli, S. M. S. (2015). Forest resources usefor building livelihood resilience in ethnic communities of Jharkhand. Trends in Biosciences, 8(5), 1256–1264.
41. Lu, D., Mausel, P., Brondiozio, E., & Moran, E. (2004). Change detection techniques. International Journal of Remote Sensing, 25(12), 2365–2407. DOI: 10.1080/0143116031000139863
42. Lu, D., Moran, E., Hetrick, S., & Li, G. (2011). Land-use and land-cover change detection. In Q. Weng (Ed.), Advances in environmental remote sensing: Sensors, algorithms and applications (pp. 273–291). Boca Raton: CRC Press. DOI: 10.1201/b10599-14
43. Jensen, J. R. (1996). Introductory digital image processing: A remote sensing perspective. Upper Saddle: Prentice Hall.
44. Lopez, E., Boccoa, G., Mendozaa, M., & Duhau, E. (2001). Predicting land-cover and land-use change in the urban fringe. A case in Morelia city, Mexico. Landscape Urban Planning, 55, 271–285. DOI: 10.1016/S0169-2046(01)00160-8
45. Foody, G. M. (2001). Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80, 185–201. DOI: 10.1016/S0034-4257(01)00295-4
46. Bhagat, R. B. (2011). Emerging pattern of urbanization. Economic & Political Weekly, 46(34), 10–12.
47. Guan, D., Li, H., Inohae, T., Su, W., et al. (2011). Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological Modeling, 222, 3761–3772. DOI: 10.1016/j.ecolmodel.2011.09.009
48. Jat, M. K., Garg, P. K., & Khare, D. (2008). Monitoring and modeling urban sprawl using remote sensing and GIS techniques. International Journal of Applied Earth Observation, 10, 26–43. DOI: 10.1016/j.jag.2007.04.002