Spectral mixture analysis and geometric-optical reflectance modeling of boreal forest biophysical structure

Remote Sensing of Environment

Volumn 67, Issue 3, 1999, Pages 288-297

  Peddle, Derek R ^b   Hall, Forrest G ^a   Ledrew, Ellsworth F ^b  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; COLOR PHOTOGRAPHY; ERROR ANALYSIS; LIGHT REFLECTION; MATHEMATICAL MODELS; RADIOMETERS; REGRESSION ANALYSIS; SOLAR RADIATION; VEGETATION;

BIOPHYSICS; GEOMETRIC-OPTICAL REFLECTANCE MODELS; LI-STRAHLER SPHEROID MODEL; SOLAR ZENITH ANGLE (SZA); SPECTRAL MIXTURE ANALYSIS;

REMOTE SENSING;

BIOMASS; BOREAL FOREST; LEAF AREA INDEX; NET PRIMARY PRODUCTION; SPECTRAL ANALYSIS;

EID: 0033102141     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(98)00090-X     Document Type: Article

References (40)

1. Adams J.B., Smith M.O., Gillespie A.R. Imaging spectroscopy. interpretation based on spectral mixture analysis Pieters C.M., Englert P.A.J. Topics in Remote Sensing IV. Remote Geochemical Analysis:1993;145-166 Cambridge University Press, Cambridge.
2. Barker Schaaf C., Strahler A.H. Solar zenith angle effects on forest canopy hemispherical reflectances calculated with a geometric-optical bidirectional reflectance model. IEEE Trans. Geosci. Remote Sens. 31(4):1993;921-927.
3. Bonan G.B. Atmosphere-biosphere exchange of carbon dioxide in boreal forests. J. Geophys. Res. 96(D4):1991;7301-7312.
4. Bruniquel-Pinel V., Gastellu-Etchegorry J.P. Sensitivity of texture of high resolution images of forest to biophysical and acquisition parameters. Remote Sens. Environ. 65:1998;61-85.
5. Curran P.J., Williamson H.D. GLAI estimation using measurements of red, near infrared, and middle infrared radiance. Photogramm. Eng. Remote Sens. 53(2):1987;181-186.
6. Elvidge C.D., Lyon R.J. Influence of rock-soil spectral variation on the assessment of green biomass. Remote Sens. Environ. 17:1985;265-279.
7. Franklin J., Prince S.D., Strahler A.H., Hanan N.P., Simonett D.S. Reflectance and transmittance properties of West Africa savanna trees from ground radiometer measurements. Int. J. Remote Sens. 12(6):1991;1369-1385.
8. Franklin S.E., Lavigne M.B., Deuling M.J., Wulder M.A., Hunt E.R. Estimation of forest leaf area index using remote sensing and GIS data for modelling net primary productivity. Int. J. Remote Sens. 18(6):1997;3459-3471.
9. Gates D.M. Climate change and forests. Tree Physiol. 7:1990;1-5.
10. Gemmell F. An investigation of terrain effects on the inversion of a forest reflectance model. Remote Sens. Environ. 65:1998;155-169.
11. Gu D., Gillespie A. Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry. Remote Sens. Environ. 64:1998;166-175.
12. Guyot G., Guyon D., Riom D.G. Factors affecting the spectral response of forest canopies. a review Geocarto Int. 3:1989;3-18.
13. Hall, F. G., Huemmrich, K. F., Strebel, D. E., Goetz, S. J., Nickeson, J. E., and Woods, K. D. (1992), Biophysical, morphological, canopy optical property, and productivity data from the Superior National Forest, NASA/GSFC Report 104568, Greenbelt, MD.
14. Hall F.G., Shimabukuro Y.E., Huemmrich K.F. Remote sensing of forest biophysical structure in boreal stands of picea mariana using mixture decomposition and geometric reflectance models. Ecol. Appl. 5:1995;993-1013.
15. Hall F.G., Peddle D.R., LeDrew E.F. Remote sensing of biophysical variables in boreal forest stands of. Picea Mariana. Int. J. Remote Sens. 17:1996;3077-3081.
16. Hall F.G., Knapp D.E., Huemmrich K.F. Physically based classification and satellite mapping of biophysical characteristics in the southern boreal forest. J. Geophys. Res. BOREAS(Special Issue, 12-26-97, 102(D24)):1997;29567-29580.
17. Hanan N.P., Prince S.D., Franklin J. Reflectance properties of West Africa savanna trees from ground radiometer measurements. II. Classification of components. Int. J. Remote Sens. 14:1993;1081-1097.
18. Huete A.R. Soil influences in remotely sensed vegetation canopy spectra. Asrar G. Theory and Applications of Optical Remote Sensing. 1989;107-140 Wiley, New York. Chap. 4.
19. Huguenin R.L., Karaska M.A., Blaricom D.V., Jensen J.R. Subpixel classification of bald cypress and tupelo gum trees in Thematic Mapper imagery. Photogramm. Eng. Remote Sens. 63:1997;717-725.
20. Jasinski M.F., Eagleson P.S. The structure of red-infrared scattergrams of semivegetated landscapes. IEEE Trans. Geosci. Remote Sens. GE-27:1989;441-451.
21. Lathrop, R. G., Jr., and L. L. Pierce, P. S. (1991), Ground-based canopy transmittance and satellite remotely sensed measurements for estimation of coniferous forest canopy structure. Remote Sens. Environ. 36:179-188.
22. Li X., Strahler A.H. Geometric-optical modeling of a conifer forest canopy. IEEE Trans. Geosci. Remote Sens. GE-23:1985;705-720.
23. Li X., Strahler A.H. Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy. effect of crown shape and mutual shadowing IEEE Trans. Geosci. Remote Sens. GE-30:1992;276-292.
24. Mitchell J.F.B. The "greenhouse" effect and climate change. Rev. Geophys. 27:1989;115-139.
25. 2-induced climate change. Nature. 334:1988;55-58.
26. Peddle D.R. Knowledge formulation for supervised evidential classification. Photogramm. Eng. Remote Sens. 61:1995;409-417.
27. Peddle D.R., Franklin S.E. Image texture processing and data integration for surface pattern discrimination. Photogramm. Eng. Remote Sens. 57:1991;413-420.
28. Peddle D.R., Johnson R.L. Spectral mixture analysis of airborne remote sensing imagery for improved prediction of leaf area index in mountainous terrain, Kananaskis Alberta. Can. J. Remote Sens. in press:1999.
29. Peddle D.R., Hall F.G., LeDrew E.F., Knapp D.E. Classification of forest land cover in BOREAS. II. Comparison of results from a subpixel scale physical modeling approach and a training based method Can. J. Remote Sens. BOREAS(Special Issue, 23(2)):1997;131-142.
30. Roberts D.A., Smith M.O., Adams J.B. Green vegetation, nonphotosynthetic vegetation and soils in AVIRIS data. Remote Sens. Environ. 44:1993;255-269.
31. Sellers P.J. Canopy reflectance, photosynthesis, and transpiration. Int. J. Remote Sens. 6:1985;1335-1372.
32. Sellers P.J., Schimel D. Remote sensing of the land biosphere and biogeochemistry in the EOS era. science priorities, methods and implementation Global Planet. Change. 7:1993;279-297.
33. Sellers P., Hall F., Margolis H.et al. The Boreal Ecosystem-Atmosphere Study (BOREAS). an overview and early results from the 1994 field year Bull. Am. Meteorol. Soc. 76:1995;1549-1577.
34. Shimabukuro Y.S., Smith J.A. The least-squares mixing models to generate fraction images derived from remote sensing multispectral data. IEEE Trans. Geosci. Remote Sens. 29:1991;16-20.
35. Spanner M.A., Pierce L.L., Peterson D.L., Running S.W. Remote sensing of temperate coniferous forest leaf area index. the influence of canopy closure, understorey vegetation and background reflectance Int. J. Remote Sens. 11:1990;95-111.
36. Syrén P. Reflectance anisotropy for nadir observations of coniferous forest canopies. Remote Sens. Environ. 49:1994;72-80.
37. White J.D., Running S.W., Nemani R., Keane R.E., Ryan K.C. Measurement and remote sensing of LAI in Rocky Mountain montane ecosystems. Can. J. For. Res. 27:1997;1714-1727.
38. Woodcock C.E., Collins J.B., Jakabhazy V.D., Li X., Macomber S.A., Wu Y. Inversion of the Li-Strahler canopy reflectance model for mapping forest structure. IEEE Trans. Geosci. Remote Sens. 35:1997;405-414.
39. Wu Y., Strahler A.H. Remote estimation of crown size, stand density, and biomass on the Oregon transect. Ecol. Appl. 4:1994;299-312.
40. Wulder M.A., LeDrew E.F., Franklin S.E., Lavigne M.B. Aerial image texture information in the estimation of northern deciduous and mixed wood forest leaf area index (LAI). Remote Sens. Environ. 64:1998;64-76.