(1984). "Inversion of canopy reflectance models for estimating agronomic variables. III. Estimation using only canopy reflectance data as illustrated by the Suits model." <i>Remote Sensing of Environment</i> 15(3), 223-236.

(1984). "Inversion of vegetation canopy reflectance models for estimating agronomic variables. III. Estimation using only canopy reflectance data as illustrated by the Suits model." Remote Sensing of Environment 15(3), pp. 223-236.

Publication Info: 

Goel, Narendra S., and Richard L. Thompson. "Inversion of vegetation canopy reflectance models for estimating agronomic variables. III. Estimation using only canopy reflectance data as illustrated by the Suits model." Remote Sensing of Environment 15, no. 3 (1984): 223-236.

Abstract: 

The technique for estimating agronomic and spectral parameters for a vegetation canopy from the canopy reflectance (CR) data, described earlier (Goel et al., 1984), has been improved. These improvements are twofold: first, one can now, in principle, estimate various parameters using only CR data, in the infrared band, for a set of solar/view angles; second, the method is now computationally much more efficient. These improvements are illustrated via Suits' model. An analysis of the sensitivity of the calculated agronomic and spectral parameters to changes in the CR is also carried out. This analysis suggests that, in general, for expected levels of errors in the measurement of CRs and the accuracy with which the Suits model is likely to represent CR, one is unlikely to be able to estimate agronomic parameters like leaf area index (LAI) and average leaf angle (ALA) using only measured CR data. Such a determination will likely require ancillary data on the reflectance and transmittance of vegetation elements and on the soil reflectance.

This work was in part supported by NASA through its Earth Sciences Branch, Johnson Space Center, Houston. Some of the computations reported were carried out at the SUNY Binghamton Computer Center. We acknowledge several useful discussions with Dr. Donald Strabel of SUNY Binghamton.

Notes: 

NASA funding supported this research.

Thompson's professional affiliation listed at:
Department of Systems Science, Watson School of Engineering
State University of New York, Binghamton, NY 13901 U.S.A.