Vegetation water and dry matter contents estimated from top-of-the-atmosphere reflectance data: A simulation study

Remote Sensing of Environment

Volumn 61, Issue 1, 1997, Pages 34-45

  Fourty, Thierry ^a,b   Baret, Frédéric ^a  

^a CEMAGREF   (France)

^b GEOSYS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

PLANTS (BOTANY); RADIOMETRY; REFLECTOMETERS; REGRESSION ANALYSIS; REMOTE SENSING; SOILS;

VEGETATION WATER;

ECOSYSTEMS;

ORGANIC MATTER; RADIOMETRIC RESOLUTION; REFLECTANCE DATA; SPECTRAL RESOLUTION; VEGETATION; WATER; WAVELENGTH;

EID: 0031177873     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(96)00238-6     Document Type: Article

References (41)

1. Aber, J. D., and Federer, C. A. (1992), Generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems. Oecologia 92:463-474.
2. Bach, H., and Mauser, W., (1994) Modeling and model verification of the spectral reflectance of soils under varying moisture conditions. IGARSS'94, 2354-2356, Pasadena, CA.
3. Baret, F., (1994), Use of reflectance spectral variation to retrieve canopy biophysical characteristics. In Advances in Environmental Remote Sensing (F. M. Danson and S. E. Plummer, Eds.) Wiley, Chichester (U. K.), pp. 33-51.
4. Baret, F., Clevers, J. G. P. W., and Steven, M. D. (1995), The robustness of canopy gap fraction estimates from red and near infrared reflectances: a comparison of approaches. Remote Sens. Environ. 54:141-151.
5. Baret, F., and Fourty, T. (1996), Spectral estimates of leaf water content and specific weight. Remote Sens. Environ., in press.
6. Baret, F., and Guyot, G. (1991), Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens. Environ. 35(2-3):161-173.
7. Beaumont, P. (1995), Reflectance foliaire et acclimatation à un deficit hydrique: cas des feuilles de tournesol. Ph.D. Thesis, Ecophysiologie végétale et Télédétection, Université Paul Sabatier, Toulouse, France.
8. Curcio, J. A., and Petty, C. C. (1951), The near infrared absorption spectrum of liquid water. J. Opt. Soc. Am. 41(5): 302-304.
9. Curran, P. J. (1989), Remote sensing of foliar chemistry. Remote Sens. Environ. 30:271-278.
10. Curran, P. J. (1994), Attempts to drive ecosystem simulation models at local to regional scales. In Environmental Remote Sensing Models at Local Scale to Regional Scales (G. M. Foody and P. J. Curran, Eds.) Wiley, Chichester, pp. 149-166.
11. Del Bello, U., Kealy, P., Meynart, R., and Rast M. (1995), PRISM: a hyperspectral imager for a future ESA land observation mission. European Satellite Remote Sensing Conference, Paris.
12. Delecolle, R., Maas, S. J., Guerif, M., and Baret, F. (1992), Remote sensing and crop production models: recent trends. ISPRS J. Photogramm. Remote Sens. 47:154-161.
13. Field, C., and Mooney, H. A. (1986), The photosysthesis-nitrogen relationship in wild plants. In On the Economy of Plant Form and Function (T. W. Givnich, Ed.), Cambridge University Press, New York, pp. 25-55.
14. Fourty, T., Baret, F., Jacquemoud, S., Schmuck, G., and Verdebout, J. (1996), Leaf optical properties with explicit description of its biochemical composition: direct and inverse problems. Remote Sens. Environ. 56:104-117.
15. Gao, B. C., and Goetz, A. F. H. (1990), Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data. J. Geophys. Res. 95 (D4):3549-3564.
16. Gong, P., Pu, R., and Miller, J. R. (1992), Correlating leaf area index of ponderosa pine with hyperspectral CASI data. Can. J. Remote Sens. 18(4):276-282.
17. Grossman, Y. L., Ustin, S. L., Jacquemoud, S., Sanderson, E., Schmuck, G., and Verdebout, J. (1995), Critique of stepwise linear regression for the extraction of leaf biochemistry information from leaf reflectance data. (in press).
18. Hosgood, B., Jacquemoud, S., Andreoli, G., Verdebout, J., Pedrini, G., and Schmuck, G. (1995), Leaf optical properties experiment 93 (LOPEX93). Report of the European Commission, Joint Research Center, Institute of Remote Sensing Applications, Ispra, Italy.
19. Hruschka, W. R. (1987), Data analysis: wavelength selection methods. In Near infrared technology in the agricultural and food industries. (P. C. Williams and K. H. Norris, Eds.), American Association of Cereal Chemists, Inc., St. Paul, MN, Chap. 3.
20. Huete, A. R., and Lui, H. Q. (1994), An error and sensitivity analysis of the atmospheric and soil correcting variants of NDVI for the MODIS-EOS. IEEE Trans. Geosci. Remote Sens. 32(4):897-905.
21. Jacquemoud, S., and Baret, F. (1990), PROSPECT: a model of leaf optical properties spectra. Remote Sens. Environ. 34: 75-91.
22. Jacquemoud, S., Baret, F., Andrieu, Danson, M., and Jaggard, K. (1995), Extraction of vegetation biophysical parameters by inversion of the PROSPECT+SAIL model on sugar beet canopy reflectance data: application to TM and AVIRIS sensors. Remote Sens. Environ. 52:163-172.
23. Jacquemoud, S., Baret, F., and Hanocq, J. F. (1992), Modeling spectral and directional soil reflectance. Remote Sens. Environ. 41:123-132.
24. Johnson, L. F., Hlavka, C. A., and Peterson, D. L. (1994), Multivariate analysis of AVIRIS data for the canopy biochemical estimation along the Oregon transect. Remote Sens. Environ. 47:216-230.
25. Kuusk, A. (1991a), The hot spot effect in plant canopy reflectance. In Photon-Vegetation Interactions: Applications in Optical Remote Sensing and Plant Ecology (R. B. Myneni, and J. Ross, Eds.), Springer Verlag, Berlin, pp. 139-159.
26. Kuusk, A. (1991b). Determination of vegetation canopy parameters from optical measurements. Remote Sens. Environ. 37:207-218.
27. Marten, G. C., Shenk, J. S., and Barton, F. E. (1989), Near infrared reflectance spectroscopy (NIRS): analysis of forage quality. U. S. Dep. Agric. Handbook 643:1-96.
28. Martin, M. E., and Aber, J. D. (1993), Measurements of canopy chemistry with AVIRIS data at Blackhawk Island and Harvard Forest. Fourth JPL Airborne Geoscience Workshop, JPL publication, Pasadena, CA.
29. Myneni, R. B., and Willams, D. L. (1994), On the relationship between FAPAR and NDVI. Remote Sens. Environ. 49: 200-211.
30. NASA (1994), Accelerated canopy chemistry program. Final report to NASA-EOS IWG, NASA, Washington, DC.
31. Peterson, D. L., Aber, J. D., Matson, P. A., Card, D. H., Swanberg, N., Wessman, C., and Spanner, M. (1988), Remote sensing of forest canopy and leaf biochemical contents. Remote Sens. Environ. 24:85-108.
32. Rummelhart, D. E., Hinton, G. E., and Williams, R. J. (1986), Learning internal representations by error propagation. In Parallel Data Processing. D. Rummelhart and J. McClelland, Eds.) M. I. T. Press, Cambridge, MA, Vol. 1, pp. 318-362.
33. Sellers, P. J. (1985), Canopy reflectance photosynthesis and transpiration II: the role of biophysics in the linearity of their dependence. Int. J. Remote Sens. 21:143-183.
34. Sellers, P. J., Berry, J. A., Collatz, G. J., Field, C. B., and Hall, F. G. (1992), Canopy reflectance, photosynthesis, and transpiration III: a reanalysis using improved leaf models and a new canopy integration scheme. Remote Sens. Environ. 42:187-216.
35. Smith, G. M., and Curran, P. J. (1992), Exploring the remote sensing of foliar biochemical concentrations with AVIRIS data. Third JPL Airborne Geoscience Workshop, JPL, Pasadena, CA.
36. Verhoef, W. (1984), Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sens. Environ. 16:125-141.
37. Verhoef, W. (1985), Earth observation modeling based on layer scattering matrices. Remote Sens. Environ. 17:165-178.
38. Vermote, E., Tanré, D., Deuzé, J. L., Herman, M., and Mocrette, J. J. (1994), Second simulation of the satellite signal in the solar spectrum (6S). Report Laboratoire d'optique atmosphérique, Lille, France.
39. Wessman, C. A., Aber, J. D., Peterson, D. L., and Melillo, J. M. (1988), Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems. Nature 335: 154-156.
40. Yoder, B. J., and Pettigrew-Crosby, R. E. (1995), Predicting nitrogen and chlorophyll content and concentration from reflectance spectra (400-2500 nm) at leaf and canopy scales. Remote Sens. Environ. 53:199-211.
41. Zagolsky, F. (1994), Evaluation des concentrations chimiques d'un couvert forestier à partir de la haute résolution spectrae. Ph.D. Thesis, Université Paul Sabatier, Toulouse, France.