References

Ashburn, P. (1978). The vegetative index number and crop identification. The LACIE Symposium Proceedings of the Technical Session, 843-850.

Bannari, A., Huete, A.R., Morin, D, and Zagolski. (1996). Effect de la couleur et de la brilliance du sol sur les indices ds vegetation. International Journal of Remote Sensing, 17: 1885-1906.

Baret, F., Guyot, G. (1991). Potential and Limits of Vegetation Indices for LAI and APAR assessment. Remote Sensing and the Environment, 35: 161-173.

Baret, F., Guyot, G., and Major, D. (1989). TSAVI: a vegetation index which minimizes soil brightness effects on LAI and APAR estimation, 12th Canadian Symposium on Remote Sensing and IGARSS’90, Vancouver, Canada, 4.

Binaghi, E. Brivio, P.A. Ghezzi, P. Rampini, A. Zilioli, E. (1999). Investigating the Behavior of Neural and Fuzzy- Statistical Classifiers in Sub-Pixel Land Cover Estimations, Canadian Journal of Remote Sensing, 52, 2: 171-187.

Deering, D.W., Rose, J.W. Jr., Hass, R., H., Schell, J. A. (1975). Measuring “forage production” of grazing units from LANDSAT MSS Data. Proceedings of the 10th International Symposium on Remote sensing of Environment II, 1169- 1178.

Ferreira, L. G. Yoshioka, H. Huete, A. and Sano, E. E. (2004). Optical characterization of the Brazilian Savanna physiognomies for improved land cover monitoring of the cerrado biome: preliminary assessments from an airborne campaign over an LBA core site, Journal of Arid Environments, 56:425-447.( http://www.wri.org/wri/wr-96-97/lc_txt1.html )

Huete, A.R. (1988). A Soil Adjusted vegetation index (SAVI), Remote Sensing and the Environment, 25: 53-70.

James B. Campbell, (2002). Introduction to Remote Sensing (3rd Edn). Taylor & Francis, London, UK. 605 pp.

Mahesh Pal & Paul M. Mather. (2003). An assessment of the effectiveness of decision tree methods for land cover classification, Remote Sensing of Environment, 86: 554-565.

Perry, Charles R., Jr., and Lautenschlager, Lyle F. (1984). Functional equivalence of vegetation indices. Remote sensing and Environment, 14: 169-182.

Qi, J., Chehbouni A., Huete, A.R., Kerr, Y. H., and Sorooshian, S. A. (1994). Modified Soil Adjusted Vegetation Index. Remote Sensing and the Environment, 48:119-126.

Ramachandra, T.V. Kamakshi, G. and Shruthi, B.V. (2004) Bioresource status in Karnataka, Renewable and Sustainable Energy Reviews, Volume 8, Issue 1, February 2004, Pages 1-47.

Richerdson, A.J., Wiegand, C.L. (1977). Distinguishing Vegetation from soil background information. Photogramm. Eng. Remote Sens., 43: 1541-1552.

Ramachandra T.V. (2007a). Geospatial Mapping of Bioenergy Potential in Karnataka, India. Journal of Energy & Environment (JEE), 6(1): 28-44.

Ramachandra T.V., (2007b). Vegetation Status in Uttara Kannada District, Mapana – Journal of Sciences, 6(1):1-26

Ramachandra T.V. and Shruthi B.V. (2007) Spatial mapping of renewable energy potential, Renewable and Sustainable Energy Reviews, 11(7):1460-1480.

Ramachandra T.V. Yves Loerincik and Shruthi B.V. (2006)  Intra and Inter Country Energy Intensity Trends, International Journal of Energy and Development, 31(1): 43-84.

Rose, J.W. Jr., Hass, R., H., Schell, J. A., Deering, D.W. (1973). Monitoring Vegetation Systems in The Great Plains with ERTS, Earth Resource Technology Satellite-1 Symposium, Goddard Space Flight Center, Washington DC, 309-317.

Rose, J.W. Jr., Hass, R., H., Schell, J. A., Deering, D.W., and Harlan, J.C. (1974). Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation. NASA/ GSFC Type III Final Report, Greenbelt, MD.371.

Stehman, S. V. Wickham, J. D Smith, J. H. and Yang, L. (2003). Thematic accuracy of the 1992 National Land-Cover Data for the eastern United States: Statistical methodology and regional results, Remote Sensing of Environment, 86: 500-516.

Thiam, A.K. (1997). Geographic Information System and Remote Sensing Methods for Assessing and Monitoring Land Degradation in the Shale: The Case of Southern Mauritania. Doctoral Dissertation, Clarks University.

Xavier Baulies & Gerard Szejwach. (1998). LUCC Data Requirements Workshop, Report Series No.3, Institut Cartogràphic ds Catalunya, Spain. 141 pp.