58
James, M., 1985, Classification Algorithms, Collins Professional and Technical books,
London.
Kennedy, P., Roy, D.P., Folving, S., Mégier, J. 1995, The application of the FIRS Project's
Foundation Action 1, the Régionalisation and stratification of European forest ecosystems, for
providing a European NOAA-AVHRR based forest map. Proceedings to the 15th EARSeL
Symposium on 'Progress in Environmental Research and Applications', Basel. Switzerland
4-6 September 1995.
Lambin, E.F., Ehrlich, D., 1995, Combining vegetation indices and surface temperature for
land cover mapping at broad spatial scales. International Journal of Remote Sensing, Vol.
16, pp. 573-579.
Meyer-Roux, J. and Vossen, P., 1993, The first phase of the MARS project. 1988-1993:
overview, methods and results, Proceedings of Conference on The MARS Project : Overview
and Perspectives, Institute for Remote Sensing Applications, Villa Carlotta, Belgirate, Lake
Maggiore, Italy, 17-18 November, 1993, pp. 33-81.
Nemani, R.R., Pierce, L., Running, S.W., Goward, S., 1993, Developing satellite derived
estimates of surface moisture status, Journal of Applied Meteorology, 32, pp. 548-557.
Nemani, R.R. and Running, S.W., 1996, Land cover characterisation using multi-temporal
red, near-infrared and thermal-infrared data from NOAA/AVHRR, Ecological Applications,
In Press.
Price, J.C., 1984, Land Surface Temperature Measurements from the Split Window Channels
of the NOAA 7 Advanced very high Resolution Radiometer, Journal of Geophysical
Research, Vol. 89, pp. 7231-7237.
Roy, D.P., 1996, Investigation of the maximum Normalised Difference Vegetation Index
(NDVI) and the maximum Surface Temperature (Ts) AVHRR compositing procedures for the
extraction of NDVI and Ts over forest. Submitted to the International Journal of Remote
Sensing.
Roy, D.P., Kennedy, P., Folving, S., 1996, Combination of the normalised difference
vegetation index and surface temperature for regional scale European forest cover mapping
using AVHRR data. Submitted to the International Journal of Remote Sensing.