Agriculture Reference
In-Depth Information
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In: Proceedings of the Symposium on Machine Processing of Remotely Sensed
Data. Perdue University, West Lafayette, IN, pp. 41-51.
Ko gan, F.N. 1997. Global drought watch from space. Bull. Am. Meteorol. Soc.
78:621-636.
Ko gan, F.N. 2002. World droughts in the new millennium from AVHRR-based
vegetation health indices. EOS Trans. Am. Geophys. Union 83:557.
Ku mar, M. and J.L. Monteith. 1982. Remote sensing of plant growth. In: H. Smith
(ed.), Plants and the Daylight Spectrum. Pitman, London, pp. 133-144.
Lillesand, T.M., and R.W. Keifer. 2000. Remote Sensing and Image Interpretation.
John Wiley & Sons, New York.
Los, S.O., G.J. Collatz, L. Bounoua, P.J. Sellers, and C.J. Tucker. 2001. Global
interannual variations in sea surface temperature and land surface vegetation,
air temperature and precipitation. J. Climate 14:1535-1549.
M alo, A.R., and S.N. Nicholson. 1990. A study of rainfall and vegetation dynamics
in the African Sahel using normalized difference vegetation index. J. Arid
Environ. 19:1-24.
M isra, P.N., S.G. Wheeler, and R.E. Oliver. 1977. Kauth-Thomas brightness and
greenness axes (IBM personal communication). Contract NAS-9-14350, RES
23-46.
M onteith, J.L. 1977. Climate and the efficiency of crop production in Britain. Phil.
Trans. R. Soc. B 271:277-282.
Moran, M.S., T.R. Clarke, Y. Inoue, and A. Vidal. 1994. Estimating crop water
deficits using the relation between surface-air temperature and spectral vege-
tation index. Remote Sens. Environ. 46:246-263.
Nemani, R.R., L.L. Pierce, and S.W. Running. 1993. Developing satellite-derived
estimates of surface moisture status. J. Appl. Meteorol. 32:548-557.
N emani, R.R., and S.W. Running. 1989. Estimation of regional surface resistance
to evapotranspiration from NDVI and thermal-IR AVHRR data. J. Appl.
Meteorol. 28:276-284.
N icholson, S.E., M.L. Davenport, and A.R. Malo. 1990. A comparison of the
vegetation response to rainfall in the Sahel and East Africa, using normalized
difference vegetation index from NOAA AVHRR. Clim. Change 17:209-242.
Pe rry, C. Jr., and L.F. Lautenschlager. 1984. Functional equivalence of spectral
vegetation indices. Remote Sens. Environ. 14:169-182.
Phillips, J., M.A. Cane, and C. Rosenzweig. 1998. ENSO, seasonal rainfall patterns
and maize yield variability in Zimbabwe. Agric. Forest. Meteor. 90:39-50.
Qi, J., A. Chehbouni, A.R. Huete, Y.H. Kerr, and S. Sorooshian. 1994. A modified
soil adjusted vegetation index. Remote Sens. Environ. 48:119-126.
Ri chardson, A.J., and C.L. Wiegand. 1977. Distinguishing vegetation from soil
background information. Photogram. Eng. Remote Sens. 43:1541-1552.
Ro use, J.W. Jr., R.H. Haas, D.W. Deering, J.A. Schell, and J.C. Harlan. 1974.
Monitoring the vernal advancement and retrogradation (green wave effect)
of natural vegetation. NASA/GSFC type III final report. National Aeronautics
and Space Administration, Greenbelt, MD.
Si ngh, A., and A. Harrison. 1985. Standardized principal components. Intl. J.
Remote Sens. 6:883-896.
Troughton, J.H., and L.A. Donaldson. 1972. Probing Plant Structure. Chapman
and Hall, London.
Tucker, C.J. 1980a. Leaf water content in the infrared. Remote Sens. Environ.
10:23.
Tucker, C.J. 1980b. A critical review of remote sensing and other methods for non-
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