REFERENCES

1. Ramachandra, T.V., Bharath, H.A. and Durgappa, D.S. Insights to urban dynamics through landscape spatial pattern analysis, International Journal of Applied Earth Observation and Geoinformation, 18, 2012a, 329-343.
2. Bharath, H. A., Bharath,S., Durgappa, D.S. and Ramachandra, T.V. Effectiveness of landscape Spatial Metrics with reference to the Spatial Resolutions of Remote Sensing Data, Proceedings of India Conference on Geo-spatial Technologies and Applications 2012, IIT Bombay, Mumbai, India, 12-14 April, 2012.
3. Ramachandra, T.V., Bharath, H.A. and Sreekantha, S. Spatial Metrics based Landscape Structure and Dynamics Assessment for an emerging Indian Megalopolis, International Journal of Advanced Research in Artificial Intelligence, 1(1), 2012b, 48-57.
4. Van Ginkel, H., Urban future. The cities of the developing world are spectacularly ill-prepared for the explosion in urban living. Nature, 456, 2008,  32-33
5. Czamanski, D., Benenson, I., Malkinson, D., et al., Urban sprawl and ecosystems can nature survive? International Review of Environmental and Resource Economics, 2, 2008, 321-366.
6. Bhagat, R.B. Emerging pattern of Urbanization in India. Economic and Political Weekly, 46, 2011, 10-13
7. Bharath, H.A. and Ramachandra, T.V., Measuring urban sprawl in Tier II cities of Karnataka, India, In Proceedings of IEEE GHTC SAS 2013 conference 23-24 August 2013, Technopark, Trivandrum, India. 2013.
8. Bagan, H., Yamagata, Y. Landsat analysis of urban growth: how Tokyo became the world’s largest megacity during the last 40 years. Remote Sensing of Environment, 127, 2012, 210-222
9. Patino, J. E., Duque, J. C. A review of regional science applications of satellite remote sensing in urban settings. Computers, Environment and Urban Systems, 37, 2013, 1-17
10. Wu, Q.,Li,   H.Q., Wang, R.S., et al., Monitoring  and  predicting  land  use  change  in  Beijing  using  remote  sensing  and GIS.  Landscape Urban Plann 78, 2006, 322–333
11. Schneider, A., Woodcock, C. Compact, dispersed, fragmented, extensive? A comparison of urban growth in twenty-five global cities using remotely sensed data, pattern metrics and census information. Urban Studies, 45, 2008, 659-692
12. Taubenbock, H., Wegmann, M.,Roth, A., Mehl, H., Dech, S., Urbanization in India: Spatiotemporal analysis using remote sensing data. Computers, Environment and Urban Systems, 33, 2009, 179–188.
13. Vinay, S., Bharath, H.A. and Ramachandra, T.V. Spatio Temporal dynamics of Raichur City, In proceedings Lake 2012: Wetlands, Biodiversity and Climate change, 06-09, Nov 2012, Satish Dhawan Auditorium, Indian Institute of Science, Bangalore, 2012.
14. Batty, Xie, Y., Sun, Z.L. Modeling urban dynamics through GIS based cellular automata.  Comput Environ.  Urban.  Syst.  23, 1999, 205–233.
15. Clarke, K.C., Brass, J.A., Riggan, P.J. A cellular-automaton model of wildfire propagation and extinction.  Photogramm.  Eng.  Remote Sens.  60, 1994, 1355–1367.
16. Courage, K., Masamu, A., Bongo, A., Munyaradzi, M.  Rural sustainability under  threat  in  Zimbabwe—simulation  of  future  land  use/cover  changes  in  the Bindura  district  based  on  the  Markov–cellular  automata  model.  Appl.  Geogr.  29, 2009, 435–447