177
important? Is there information within
the imagery that explains spurious
results? What kind and how extensive
ground truth is available from other
sources, or can be afforded? Answers
to such questions will determine not
only whether a proposed application is
technically feasible, but will also
guide the procedures that will enable
those that are technically feasible to
be successfully consummated.
To date SCA has been applied to data
for grain sorghum, wheat, cotton, maize
and rice. Exemplary functional
relations for the terms in Eqs. [1],
[2], and [3] have been obtained that
document its utility and suggest
additional testing under a range of
climatic conditions. For research
purposes, data from a common source,
such as LANDSAT TM or SPOT HRV, and
ground truth observations for the same
crops in various places in the world
need to be acquired and compared. But
application in operational settings
such as described in the preceding
paragraph need to proceed
simultaneously.
REFERENCES
Baret, F., F. Guyot, and D. J. Major.
1989. TSAVI: A vegetation index which
minimizes soil brightness effects on
LAI and APAR estimation. Proc.
IGARSS' 89-12t.h Canadian Sympos . on
Remote Sens. 3:1355-1358.
Choudhury, B. J. 1987. Relationships
between vegetation indices, radiation
absorption, and net photosynthesis
evaluated by sensitivity analysis.
Remote Sens. Environ. 22:207-233.
Gallo, K. F., C. S. T. Daughtry, and M.
E. Bauer. 1985. Spectral estimation of
absorbed photosynthetically active
radiation in corn canopies. Remote
Sens. Environ. 17:221-232.
Howell, T. A. 1990. Grain-dry matter
yield relationships for winter wheat
and grain sorghum - Southern High
Plains. Agron. J. 82: (In press)
Jackson, R. D. 1983. Spectral indices
in n-space. Remote Sens. Environ.
13:409-421.
Kauth, R. J. and G. S. Thomas. 1976.
The tasseled cap -- A graphic
description of the spectral temporal
development of agricultural crops as
seen by Landsat. Proc. Sympos. Machine
Proc. Remotely Sensed Data p. 41-49.
Inst. Elec, and Electr. Eng. New York.
Maas, S. J., R. D. Jackson, S. B. Idso,
P. J. Pinter, Jr., and R. J. Reginato.
1989. Incorporation of remotely-sensed
indicators of water stress in a crop
growth simulation model, pp. 228-231,
Proc. 19th Conf. Agric. and Forest
Meteorol. and Ninth Conf. Bioclim. and
Aerobiol. (Charleston, SC, Mar. 7-10,
1989). Amer. Meteorol. Soc., Boston,
MA.
Maas, S. J. 1988. Use of
remotely-sensed information in
agricultural crop growth models.
Ecological Modelling 41:247-268.
Monteith, J. L. 1977. Climate and the
efficiency of crop production in
Britain. Phil. Trans. Roy. Soc. London
B281:277-294.
Price, J. C. 1987. Calibration of
satellite radiometers and the
comparison of vegetation indices.
Remote Sens. Environ. 21:15-27.
Richardson, A. J. and C. L. Wiegand.
1977. Distinguishing vegetation from
soil background information.
Photogramm. Eng. 43:1541-1552.
Rouse, J. W., R. H. Haas, J. A. Schell,
and D. W. Doering. 1973. Monitoring
vegetation systems in the great plains
with ERTS. Third ERTS Symposium, NASA
SP-351, 1:309-317. U. S. Govt.
Printing Office.
Sellers, P. J. 1985. Canopy
reflectance, photosynthesis and
transpiration. Int. J. Remote Sens.
6:1335-1372.
Sellers, P. J. 1987. Canopy reflectance,
photosynthesis, and transpiration. II.
The role of biophysics in the linearity
of their interdependence. Remote Sens.
Environ. 21:143-183.
Shibayama, M., C. L. Wiegand, T.
Akiyama, and Y. Yamagata. 1988.
Radiometric predictions of agronomic
variables of rice canopies using a
visible to mid-infrared
spectroradiometer. Int. Archives
Photogramm. and Remote Sens.
27(B7):508-517. (Proc. 16th Cong., Int.
Soc. Photogramm. and Remote Sens.,
Kyoto, Japan, July 1-10, 1988).
Sinclair, T. R. and T. Horie. 1989.
Leaf nitrogen, photosynthesis, and crop
radiation use efficiency: A review.
Crop Sci. 29:90-98.
Warren Wilson, J. 1981. Analysis of
growth, photosynthesis and light
interception for single plants and
stands. Ann. Bot. 48:507-512.
Wiegand, C. L., P. R. Nixon, and R. D.
Jackson. 1983. Drought detection and
quantification by reflectance and
thermal responses. Agricul. Water Mgt.
7:303-321.
Wiegand, C. L. and A. J. Richardson.
1984. Leaf area, light interception and
yield estimates from spectral
components analysis. Agron. J.
76:543-548.
Wiegand, C. L., A. J. Richardson, and