Inversion of vegetation canopy reflectance models for estimating agronomic variables. I. Problem definition and initial results using the suits model

Remote Sensing of Environment

Volumn 13, Issue 6, 1983, Pages 487-507

  Goel, Narendra S ^a   Strebel, Donald E ^a  

^a BINGHAMTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; SOILS;

REMOTE SENSING;

EID: 0020970580     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/0034-4257(83)90055-X     Document Type: Article

References (34)

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2. Profile modeling for crop discrimination
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4. A semi-automatic technique for multitemporal classification of a given crop within a landsat scene
5. A crops and soils data base for scene radiation research
6. A method of unconstrained global optimization
7. Applications of Suits spectral model to wheat
8. Crop Identification and Leaf Area Index Calculations with Landsat Multitemporal Data
9. Suits reflectance models for wheat and cotton: Theoretical and experimental tests
10. Spectral estimates of solar radiation intercepted by corn canopies
11. The leaf mesophylls of twenty crops, their light spectra, and optical and geometrical parameters
12. A review of crop canopy reflectance models
13. Inversion of vegetation canopy reflectance models for estimating agronomic variables II. Use of angle transforms and error analysis as illustrated by the suits model
14. Feature extraction applied to agricultural crops as seen by Landsat
15. Further tests of the Suits' reflectance model
16. A seasonal verification of the Suits' spectral reflectance model for wheat
17. The inverse problem: Estimation of kinetic parameters
18. Soybean canopy reflectance as a function of view and illumination geometry
19. Role of scene radiation models in remote sensing
20. The calculation of the directional reflectance of vegetative canopy
21. Azimuthal variations in directional reflectance of vegetative canopies
22. Prediction of directional reflectance of a corn field under stress
23. Extension of a uniform canopy reflectance model to include row effects
24. Verification of a reflectance model for mature corn with applications to corn blight detection
25. A model study on the relations between crop characteristics and canopy reflectance. 1. Deduction of crop parameters from crop spectroreflectance data. 2. Detectability of variations in crop parameters by multispectral scanning
26. Influence of crop geometry on multispectral reflectance determined by the use of canopy reflectance models
27. General radiative transfer model for random and non-random canopies