Determination of vegetation cover fraction by inversion of a four-parameter model based on isoline parametrization

Remote Sensing of Environment

Volumn 111, Issue 4, 2007, Pages 553-566

  Kallel, Abdelaziz ^a   Le Hégarat Mascle, Sylvie ^b   Ottlé, Catherine ^c   Hubert Moy, Laurence ^d  

^a SERVICE D AÉRONOMIE DU CNRS   (France)

^b UNIVERSITÉ PARIS SACLAY   (France)

^c CENTRE D ETUDES DE SACLAY   (France)

^d UNIVERSITÉ DE RENNES 1   (France)

Author keywords

fCover isoline; Parameter optimization; Vegetation; Vegetation indices

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; OPTIMIZATION; RADIATIVE TRANSFER; ROBUSTNESS (CONTROL SYSTEMS);

FCOVER ISOLINE; ISOLINE PARAMETRIZATION; PARAMETER OPTIMIZATION; VEGETATION COVER; VEGETATION INDICES;

VEGETATION;

MODELING; NEAR INFRARED; OPTIMIZATION; PARAMETERIZATION; REFLECTANCE; REMOTE SENSING; VEGETATION COVER; VEGETATION INDEX;

EID: 35548961444     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.04.006     Document Type: Article

References (50)

1. Anderson J.A. An introduction to neural networks (1995), MIT Press, Cambridge, MA
2. Andrieu B., Baret F., Jacquemoud S., Malthus T., and Steven M. Evaluation of an improved version model for simulating bidirectional of sugar beet canopies. Remote Sensing of Environment 60 (1997) 247-257
3. Baret F., and Buis S. Estimating canopy characteristics from remote sensing observations. Review of methods and associated problems (2007), Springer
4. Baret F., Clever J.G.P.W., and Steven M.D. The robustness of canopy gap fraction estimates from red and near infrared reflectances: A comparison of approaches. Remote Sensing of Environment 54 (1995) 141-151
5. Baret F., and Guyot G. Potentials and limits of vegetation indices for lai and apar assessment. Remote Sensing of Environment 35 2-3 (1991) 161-173
6. Baret F., Guyot G., and Major D. Tsavi: A vegetation index which minimizes soil brightness effects on lai and apar estimation. 12th Canadian symposium on remote sensing and IGARSS'90 Vol. 4 (1989), IEEE 1355-1359
7. Baret F., Jacquemoud S., and Hanocq J.F. The soil line concept in remote sensing. Remote Sensing Reviews 7 (1993) 65-82
8. Campbell G.S. Derivation of an angle density function for canopies with ellipsoidal leaf angle distribution. Agricultural and Forest Meteorology 49 (1990) 173-176
9. Clevers J.G.P.W. The application of a weighted infrared-red vegetation index for estimation leaf area index by correcting for soil moisture. Remote Sensing of Environment 25 (1989) 53-69
10. Combal B., Baret F., Weiss M., Trubuil A., Macé D., Pragnère A., et al. Retrieval of canopy biophysical variables from bidirectional reflectance using prior information to solve the ill-posed inverse problem. Remote Sensing of Environment 84 (2002) 1-15
11. Cooper K., Smith J.A., and Pitts D. Reflectance of a vegetation canopy using the adding method. Applied Optics 21 22 (1982) 4112-4118
12. Corgne S., Hubert-Moy L., Barbier J., Mercier G., and Solaiman B. Follow-up and modelling of the land use in an intensive agricultural watershed in France. In: Toulios L. (Ed). Remote sensing for agriculture, ecosystems, and hydrology IV Vol. 4879 (2002), SPIE, Manfred Owe 342-351
13. Dabney S., Delgado J., and Reeves D. Using winter crops to improve soil and water quality. Communication in Soil Science Plant Annals 32 7-8 (2001) 1221-1250
14. Dantzig G., Orden A., and Wolfe P. The generalized simplex method for minimizing a linear form under inequality restraints. Pacific Journal of Mathematics 8 (1955) 183-195
15. Duan Q., Sorooshian S., and Gupta V.K. Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources Research 28 4 (1992) 1015-1031
16. Durand P., Beaujouan V., Ruiz L., Aurousseau P., and Cotteret G. A hydrological model dedicated to topography-based simulation of nitrogen transfer and transformation: rationale and application to the geomorphology-denitrification relationship. Hydrological Processes 16 2 (2002) 493-507
17. Fourty T., and Baret F. Vegetation water and dry matter contents estimated from top-of-the atmosphere reflectance data: A simulation study. Remote Sensing of Environment 61 (1997) 34-45
18. Fourty T., and Baret F. On spectral estimates of fresh leaf biochemistry. International Journal of Remote Sensing 19 (1998) 1283-1297
19. Gausman H.W., Allen W.A., Cardenas R., and Richardson A.J. Relationship of light reflectance to histological and physical evaluation of cotton leaf maturity. Applied Optics 9 3 (1970) 545-552
20. Holben B., and Kimes D. Directional reflectance response in avhrr red and near-ir bands for three cover types and varying atmospheric conditions. Remote Sensing of Environment 19 (1986) 213-236
21. Huete A.R. A soil-adjusted vegetation index (savi). Remote Sensing of Environment 25 (1988) 295-309
22. Huete A.R. Theory and applications of optical remote sensing. Ch. Soil influences in remotely sensed vegetation-canopy spectra (1989), John Wiley & Sons, New York 107-141
23. Huete A.R., Post D., and Jackson R.D. Soil spectral effects on 4-space vegetation discrimination. Remote Sensing of Environment 15 (1984) 155-165
24. Jacquemoud S., and Baret F. Prospect: A model of leaf optical properties spectra. Remote Sensing of Environment 34 2 (1990) 75-91
25. Kimes D.S., Knyazikhin Y., Privette J.L., Abuelgasim A.A., and Gao F. Inversion methods for physically-based models. Remote Sensing Reviews 18 (2000) 381-439
26. Kuusk A. The hot spot effect of a uniform vegetative cover. Sovietic Journal of Remote Sensing 3 4 (1985) 645-658
27. Kuusk A. Determination of vegetation canopy parameters from optical measurements. Remote Sensing of Environment 37 (1991) 207-218
28. Kuusk A. Photon-vegetation interactions. Applications in optical remote sensing and plant ecology. Ch. The hot spot e1ect in plant canopy reflectance (1991), Springer, Berlin 139-159
29. Kuusk A. A fast, invertible canopy reflectance model. Remote Sensing of Environment 51 (1995) 342-350
30. Nelder J., and Mead R. A simplex method for function minimization. Computer Journal 7 (1965) 308-313
31. Nilson T. A theoretical analysis of the frequency of gaps in plant stands. Agricultural Meteorology 8 (1971) 25-38
32. Pearson, R. L., Miller, L. D., 1972. Remote mapping of standing crop biomass for estimation of the productivity of the short grass prairie. In: ERIM, Ann Arbor, M. (Ed.), 8th international symposium on remote sensing of the environment. Pawnee National Grasslands, Colorado, pp. 1357-1381.
33. Qi J., Chehbouni A., Huete A.R., and Kerr Y.H. A modified soil adjusted vegetation index. Remote Sensing of Environment 48 (1994) 119-126
34. Richardson A.J., and Wiegand C.L. Distinguishing vegetation from soil background information. Photogrammetric Engineering Remote Sensing 43 (1977) 1541-1552
35. Rondeaux G., Steven M., and Baret F. Optimisation of soil-adjusted vegetation indices. Remote Sensing of Environment 55 (1996) 95-107
36. Rouse J.W., Haas R.H., Schell J.A., Deering D.W., and Harlan J.C. Monitoring the vernal advancement retrogradation of natural vegetation. NASA/GSFC Vol. 3 (1974)
37. Rumelhart, D., Hinton, G., Williams, R., 1986. Learning internal representations by error propagation. In: D. Rumelhart, J.M., the PDP research group (Eds.), Parallel Distributed Processing: Explorations in the microstructure of cognition. Vol. 1. Foundations, MIT Press, Cambridge, MA, pp. 318-362.
38. Sorooshian S., Duan Q., and Gupta V.K. Calibration of the sma-nwsrfs conceptual rainfall-runoff model using global optimization. Water Resources Research 29 4 (1992) 1185-1194
39. Suits G.H. The calculation of the directional reflectance of a vegetative canopy. Remote Sensing of Environment 2 (1972) 117-125
40. Tanré D., Deroo C., Duhaut P., Herman M., and Morcrette J. Description of a computer code to simulate the satellite signal in the solar spectrum: The 5s code. International Journal of Remote Sensing 11 4 (1990) 659-668
41. van de Hulst H.C. Light scattering by small particles (1981), Dover Publications, Inc., New York
42. Verhoef W. Light scattering by leaf layers with application to canopy reflectance modelling: The sail model. Remote Sensing of Environment 16 (1984) 125-141
43. Verhoef W. Earth observation modeling based on layer scattering matrices. Remote Sensing of Environment 17 (1985) 165-178
44. Vermote E., Tanré D., Deuzé J., Herman M., and Morcette J. Second simulation of the satellite signal in the solar spectrum, 6s: An overview. IEEE Transactions on Geoscience and Remote Sensing 35 3 (1997) 675-686
45. Verstraete M.M., Pinty B., and Dickinson R.E. A physical model of the bidirectional reflectance of vegetation canopies, part 2: Inversion and validation. Journal of Geophysical Research 95 (1990) 11767-11775
46. Yoshioka H. Vegetation isoline equations for an atmosphere-canopy-soil system. IEEE Transactions on Geoscience and Remote Sensing 42 (2004) 166-175
47. Yoshioka H., Huete A.R., and Miura T. Derivation of vegetation isoline equations in red-nir reflectance space. IEEE Transactions on Geoscience and Remote Sensing 38 2 (2000) 838-848
48. Yoshioka H., Miura T., and Huete A.R. An isoline-based translation technique of spectral vegetation index using eo-1 hyperion data. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 1363-1372
49. Yoshioka H., Miura T., Huete A.R., and Ganapol B.D. Analysis of vegetation isolines in red-nir reflectance space. Remote Sensing of Environment 74 2 (2000) 313-326
50. Yoshioka H., Yamamoto H., and Miura T. Use of an isoline-based inversion technique to retrieve a leaf area index for inter-sensor calibration of spectral vegetation index. Geoscience and Remote Sensing Symposium Vol. 3 (2002), IGARSS 1639-1641