Full text: Proceedings of the Symposium on Global and Environmental Monitoring (Pt. 1)

175 
P. R. Nixon. 1986. Spectral components 
analysis: A bridge between spectral 
observations and agrometeorlogical crop 
models. Trans. Geosci. and Remote Sens. 
GE-24:83-89. 
Wiegand, C. L. and A. J. Richardson. 
1987. Spectral components analysis. 
Rationale and results for three crops. 
Int. J. Remote Sens. 8:1011-1032. 
Wiegand, C., M. Shibayama, Y. Yamagata, 
and T. Akiyama. 1989. Spectral 
observations for estimating the growth 
and yield of rice. Jap. J. Crop Sci. 
58:673-683. 
Wiegand, C. L, and A. J. Richardson. 
1990a. Use of spectral vegetation 
indices to infer leaf area, 
évapotranspiration and yield: I. 
Rationale. Agron. J. 82:623-629. 
Wiegand, C. L. and A. J. Richardson. 
1990b. Use of spectral vegetation 
indices to infer leaf area, 
évapotranspiration and yield: II. 
Results. Agron. J. 82:630-636. 
Wiegand, C. L., A. J. Richardson, D. E. 
Escobar, and A. H. Gerbermann. 1991. 
Vegetation indices in crop 
assessments. Remote Sens. Environ. 
(Submitted) 
Fig. 1. The functional relations of each term of Eq. [1] for three crops: cotton, 
wheat, and maize. Cotton treatments were thinned (<NT), not thinned (NT), a growth 
regulator, mepiquat chloride, applied once (MC), and twice ( MC2) during the growing 
season. (Data correspond to the equations of Table 4, Wiegand and Richardson, 
1990b).
	        
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