Full text: Proceedings of the Symposium on Global and Environmental Monitoring (Part 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).
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.