http://www.iisc.ernet.in/
Land Use Dynamics at Padubidri, Udupi District with the Implementation of Large Scale Thermal Power Project
http://wgbis.ces.iisc.ernet.in/energy/
Ramachandra T V 1,2,3,*                Bharath H. Aithal 1,2
1 Energy & Wetlands Research Group, Center for Ecological Sciences [CES], 2 Centre for Sustainable Technologies (astra), 3 Centre for infrastructure, Sustainable Transportation and Urban Planning [CiSTUP], Indian Institute of Science, Bangalore, Karnataka, 560 012, India
*Corresponding author: cestvr@ces.iisc.ernet.in
REFERENCES
  1. Abd El-Kawy, O.R., Rod, J.K., Ismail, H.A., Suliman, A.S., 2011. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data, Applied Geography, 31 (2), 483-494.
  2. Adegoke, J.O., Pielke R.A., Carleton, A.M., 2007.  Observational and modeling studies of the impact of agriculture-related land use change on climate in the central U.S. Agric. For. Meteorol., 142, 203–215. 
  3. Barlage, M., Zeng, X., 2004. The effects of observed fractional vegetation cover on the land surface climatology of the community land model. J. Hydrometeorol., 5, 823–830. 
  4. Berberoglu, S., Akin, A., 2009.  Assessing  different  remote  sensing  techniques  to detect  land  use/cover  changes  in  the  eastern  Mediterranean.  International Journal of Applied Earth Observation and Geoinformation.  11: 46–53.
  5. Buiten, H.J, 1988. Matching and mapping of remote sensing images: aspects of methodology and quality. Proceedings 16th ISPRS-Congress, Kyoto, July 1–10, 1988 Vol. 27-B10 III:321–330.
  6. 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 (3), 390.
  7. Eastman, J.R., Fulk, M.,   1993.  Long  sequence  time  series  evaluation  using  standard-ized  principle  components.  Photogrammetric Engineering and  Remote  Sensing 59(8):991–996.
  8. Ehlers, M.,   Jadkowski, M.A., Howard, R.R.,  et  al.,  1990.  Application  of  SPOT  data  for regional  growth  analysis  and  local  planning.  Photogrammetric Engineering and Remote  Sensing  56 (2):175–180.
  9. Geist, H. & Lambin. E.  F, 2001, What drives tropical deforestation? A meta-analysis of proximate causes and underlying sources of deforestation based on subnational case study evidence. LUCC Report Series No. 4.
  10. Gero  A.F.,  Pitman, A.J., 2006. The impact of land cover change on a simulated storm event in the Sydney basin. J. Appl. Meteorol. Clim.,  45, 283–300.
  11. Hammett, J.E., 1992. The shapes of adaptation: historical ecology of anthropogenic landscapes in the southeastern United States.Landscape Ecol.7, 121–135. 
  12. Harris,  P.M.,  Ventura,  S.J.,  1995.  The  integration  of  geographic  data  with  remotely sensed  imagery  to  improve  classification  in  an  urban  area.  Photogrammetric Engineering  and  Remote  Sensing  61(8):993–998.
  13. Jixian Zhang, Yong hong Zhang, 2007. Remote sensing research issues of the National Land Use Change Program of China ISPRS Journal of Photogrammetry and Remote Sensing, 62(6):Pages461-472.
  14. Lillesand, T.M. and Kiefer. R. W., 2002.Remote Sensing and Image Interpretation, Fourth Edition, John Wiley and Sons, ISBN 9971-51-427-3.
  15. Marcucci, D. J. (2000). Landscape history as a planning tool. Landscape and Urban Planning, 49(1-2):67-81.
  16. Narisma G.T., Pitman, A.J., 2003. The impact of 200 years of land cover change on the Australian near-surface climate. J. Hydrometeorol., 4, 424–436.
  17. Narumalani, S., Mishra, D. R., & Rothwell, R. G. (2004). Analyzing landscape structural change using image interpretation and spatial pattern metrics. GIScience and Remote Sensing, 41(1):25-44.
  18. Nemani & Running, 1996. Global vegetation cover changes from coarse resolution satellite data. Journal of Geophysical Research 101: 7157–7162.
  19. Nelson R.F, 1983. Detecting forest canopy change due to insect activity using Landsat MSS, Photogram. Eng. Remote Sensing 49:1303–1314.
  20. NRC, 2005. Radiative Forcing of Climate Change: Expanding the Concept and Addressing Uncertainties, National Academies Press, Washington, DC (2005).
  21. Jensen. J. R. and D.L. Toll, 1982. Detecting residential land use development at the urban fringe, Photogram. Eng. Remote Sensing 48:629–643.
  22. Ramachandra T.V, Kumar U. 2004. Geographic Resources Decision Support System for land use, land cover dynamics analysis. Proceedings of the FOSS/GRASS Users Conference. 12-14, Bangkok, Thailand.
  23. Ramachandra T.V. &  Shruthi B.V. 2007. Spatial mapping of renewable energy potential, Renewable and Sustainable Energy Reviews, 11(7):1460-1480
  24. Ramachandra T. V., Uttam Kumar, P. G. Diwakar and N. V. Joshi, 2009.Land cover Assessment using À Trous Wavelet fusion and K-Nearest Neighbour classification Proceedings of the 25th Annual In-House Symposium on Space Science and Technology, 29 - 30 January 2009, ISRO - IISc Space Technology Cell, Indian Institute of Science, Bangalore.
  25. Roy D.P, P.E. Lewis & C.O. Justice, 2002. Burned area mapping using multi-temporal moderate spatial resolution data a bi-directional reflectance model-based expectation approach, Remote Sensing of Environment 83:263–286.
  26. Sen Roy, S.,  Mahmood, R., Niyogi, D.D.S., Lei, M., Foster, S.A., Hubbard, K.G.,  Douglas E., Pielke, R.A., 2007. Impacts of the agricultural Green Revolution induced land use changes on air temperatures in India. J. Geophy. Res., 112, D21108. 
  27. Sen Roy S., Mahmood, R., Quintanar, A.I., Gonazalez, A., 2011. Impacts of irrigation on dry season precipitation in India. Theor. Appl. Clim.
  28. Shalaby, A & Tateishi, R,  2007. Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt, Applied Geography 27:28–41.
  29. Schulz, J. J., Cayuela, L., Echeverria, C., Salas, J., & Rey Benayas, J. M. 2010. Monitoring land cover change of the dry land forest landscape of Central Chile (1975-20 08). Applied Geography, 30(3):436- 447.
  30. Weismiller, R.A, Kristof, S.J. and Scholtz,  D.K. 1977. Change detection in coastal zone environments, Photogram. Eng. Remote Sensing 43:1533–1539.
  31. Wilkie, D.S, & Finn, J.T, 1996. Remote Sensing Imagery for Natural Resources Monitoring. Columbia University Press, New York. Page 295.
  32. Xu,  J.,  Ai,  X.,  Deng,  X.,  2005.  Exploring  the  spatial  and  temporal  dynamics  of  land use   in  Xizhuang  watershed  of  Yunnan,  southwest  China.  International  Journal of  Applied  Earth  Observation  and  Geoinformation  7:299–309.
  33. 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), 600–60.
  34. Zang, S & Huang X. 2006. An aggregated multivariate regression land-use model and its application to land-use change processes in the Daqing region (northeast China), Ecol. Model. 193:503–516.
Citation : Ramachandra. T.V., and Bharath H. Aithal, 2012. Land Use Dynamics at Padubidri, Udupi District with the Implementation of Large Scale Thermal Power Project., International Journal of Earth Sciences and Engineering, ISSN 0974-5904, Vol. 05, No. 03, June 2012, pp. 409-417.
* Corresponding Author :
  Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, India.
Tel : 91-80-23600985 / 22932506 / 22933099,      Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR]
E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in,     Web : http://wgbis.ces.iisc.ernet.in/energy, http://ces.iisc.ernet.in/grass
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