Inversion of the li-strahler canopy reflectance model for mapping forest structure

IEEE Transactions on Geoscience and Remote Sensing

Volumn 35, Issue 2, 1997, Pages 405-414

  Woodcock, Curtis E ^a   Collins, John B ^a   Jakabhazy, Vida D ^a   Li, Xiaowen ^a   Macomber, Scott A ^a   Wu, Yecheng ^a   Company, Able Software ^a  

^a BOSTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; ESTIMATION; FORESTRY; MAPPING; REFLECTION; SENSORS; TESTING;

LI-STRAHLER MODEL; VEGETATION;

MATHEMATICAL MODELS;

EID: 0031097734     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.563279     Document Type: Article

References (27)

1. N.S. Goel and R.L. Thompson, " Inversion of vegetation canopy reflectance models for estimating agronomic variables-IV: Total inversion of the sail model," Remote Sens. Environ. , vol. 15, pp. 237-253, 1984a.
2. " Inversion of vegetation canopy reflectance models for estimating agronomic variables.V. Estimation of leaf area index and average leaf angle using measured canopy reflectances," Remote Sens. Environ. , vol. 16, pp. 69-85, 1984b.
3. N.S. Goel, " Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data," Remote Sens. Rev. , vol. 4, pp. 1-212, 1988.
4. J. Otterman, " Inferring parameters for canopies nonuniform in azimuth by model inversion," Remote Sens. Environ. , vol. 33, pp. 41-53, 1990.
5. B. Pinty, M.M. Verstrate, and R.E. Dickinson, " A physical model of the directional reflectance of vegetation canopies. 2. Inversion and validation," J. Geophys. Res. , vol. 95, no. D8, pp. 11767-11775, 1990.
6. A. Kuusk, " Determination of vegetation canopy parameters from optical measurements," Remote Sens. Environ. , vol. 37, pp. 207-218, 1991.
7. F. Baret, S. Jacquemoud, B. Andrieu, M. Danson, and K. Jaggard, " Model inversion to retrieve canopy characteristics from high spectral resolution data," in Proc. Sixth Int. Symp. Physic. Measur. Spectral Signatures, Val d'Isère, France, Jan. 17-21, 1994, pp. 181-192.
8. X. Li and A.H. Strahler, " Geometric-optical modeling of a conifer forest canopy," IEEE Trans. Geosci. Remote Sens. , vol. GRS23, pp. 705-721, Sept. 1985.
9. J. Franklin and A.H. Strahler, " Invertible canopy reflectance modeling of vegetation structure in semiarid woodland," IEEE Trans. Geosci. Remote Sens. , vol. 26, pp. 809-825, 1988.
10. J. Franklin and D.L. Turner, " The application of a geometric optical canopy reflectance model to semiarid shrub vegetation," IEEE Trans. Geosci. Remote Sens. , vol. 30, pp. 293-301, Mar. 1992.
11. Y. Wu and A.H. Strahler, " Remote estimation of crown size, stand density, and foliage biomass on the Oregon transect," Ecolog. . Applicat. , vol. 4, pp. 299-312, 1993.
12. S. Macomber, C.E. Woodcock, R. Warbington, and K. Casey, " Modeling species associations for vegetation maps using terrain rules," GRASS'91 Users Conf. , Berkeley, CA, 1991, pp. 137-148.
13. C.E. Woodcock, J.B. Collins, S. Gopal, V.D. Jakabhazy, X. Li, S. Macomber, S. Ryherd, Y. Wu, V.J. Harward, J. Levitan, and R. Warbington, " Mapping forest vegetation using landsat TM imagery and a canopy reflectance model," Remote Sens. Environ. , vol. 50, pp. 240-254, 1994.
14. E.P. Crist and R.C. Ciccone, " A physically-based transformation of thematic mapper data-The TM tasseled cap," IEEE Trans. Geosci. Remote Sens. , pp. 809-825, 1984.
15. C.E. Woodcock and J. Harward, " Nested-hierarchical scene models and image segmentation," Int.J. Remote Sens. , vol. 13, no. 16, pp. 3167-3187, 1992.
16. L.R. Grosenbaugh, " Point sampling and line sampling: Probability theory, geometric implications, synthesis," USFSSo. For. Exp. Sta. Occ. , New Orleans, LA, paper no. 160.
17. J.R. Dilworth and J.F. Bell, Variable Probability Sampling, Oregon State University Book Stores Inc. , Corvallis, p. 130, 1978.
18. Schaaf, C. Barker, X. Li, and A.H. Strahler, " Validation of bidirectional and hemispherical reflectances from a geometric-optical model using ASAS imagery and pyranometer measurements of a spruce forest," Remote Sens. Environ. , vol. 49, pp. 138-144, 1994.
19. J. Dozier and A.H. Strahler, " Ground investigations in support of remote sensing," Manual of Remote Sens. , R.N. Colwell, Ed. , 2nd Edition, Amer. Soc. Photogrammetry, vol. I, 1983, pp. 959-986.
20. D.L.B. Jupp, A.H. Strahler, and C.E. Woodcock, " Autocorrelation and regularization in digital images I: Basic theory," IEEE Trans. Geosci. Remote Sens. , vol. 26, pp. 463-173, July 1988.
21. " Autocorrelation and regularization in digital images II, simple image models," IEEE Trans. Geosci. Remote Sens. , vol. 27, pp. 247-258, May 1989.
22. A.H. Strahler, C.E. Woodcock, and J.A. Smith, " On the nature of models in remote sensing," Remote Sens. Environ. , no. 20, pp. 121-139, 1986.
23. J. Franklin, " Thematic mapper analysis of coniferous forest structure and composition," Int.J. Remote Sens. , vol. 7, no. 10, pp. 1287-1301, 1986.
24. D.L. Peterson, W.E. Westman, N.J. Stephenson, V.G. Ambrosia, J.A. Brass, and M.A. Spanner, " Analysis of forest structure using thematic mapper simulator data," IEEE Trans. Geosci. Remote Sens. , vol. GRS24, pp. 113-121, Nov. 1986.
25. R. Chen, C.E. Woodcock, A.H. Strahler, and D.L.B. Jupp, " Nonlinear estimation of scene parameters from digital images using zero-hit runlength statistics," IEEE Trans. Geosci. Remote Sens. , vol. 31, no. 3, pp. 735-746, 1993.
26. D.L.B. Jupp, Inversion of the Disk Images Using Mean, Variance and Variogram Data, in preparation, 1997.
27. B.A. St. -Onge and F. Cavayas, " Estimating forest stand structure from high resolution imagery using the directional variogram," Int.J. Remote Sens. , vol. 16, no. 11, pp. 1999-2021, 1995.