(1984). "Inversion of vegetation canopy reflectance models for estimating agronomic variables. IV. Total inversion of the SAIL model." <i>Remote Sensing of Environment</i> 15(3), 237-253.
(1984). "Inversion of vegetation canopy reflectance models for estimating agronomic variables. IV. Total inversion of the SAIL model." Remote Sensing of Environment 15(3), 237-253.
Goel, Narendra S., and Richard L. Thompson. "Inversion of vegetation canopy reflectance models for estimating agronomic variables. IV. Total inversion of the SAIL model." Remote Sensing of Environment 15, no. 3 (1984): 237-253.
The estimability of all the canopy parameters for a vegetation canopy using only canopy reflectance (CR) data and the SAIL model is investigated, using techniques described earlier (Goel and Thompson, 1984a). It is shown that in principle such an estimation is possible, i.e., the SAIL model is mathematically totally invertible. An analysis of the sensitivity of the calculated values to changes in the CR data is presented. This analysis suggests that, given the expected accuracy of CR measurements and the accuracy of the SAIL model in representing CR in the infrared region, the agronomic parameters, leaf area index, and leaf angle distribution, can be estimated fairly accurately using ancillary data on spectral parameters.
This work was in part supported by NASA through its Earth Sciences Branch, Johnson Space Center, Houston. We are thankful to Dr. G. Badhwar of NASA for the computer program for the SAIL model and to Drs. M. Bauer and L. Biehl of Purdue University for providing the data on a soybean canopy cited in this paper. We acknowledge several useful discussions with Dr. D. Strebel of SUNY Binghamton.
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.