PROSPECT+SAIL: 15 Years of use for land surface characterization

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2006, Pages 1992-1995

  Jacquemoud, S ^a   Zarco Tejada, P J ^b   Verhoef, W ^c   Asner, G P ^d   Ustin, S L ^e   Baret, F ^f   Francois C ^g  

^a INSTITUT DE PHYSIQUE DU GLOBE DE PARIS   (France)

^b INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^c NATIONAL AEROSPACE LABORATORY NLR   (Netherlands)

^d GEOPHYSICAL LABORATORY   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f CEMAGREF   (France)

^g UNIVERSITÉ PARIS SUD   (France)

Author keywords

Canopy spectral and directional reflectance; Models; PROSAIL; PROSPECT; SAIL

Indexed keywords

FORESTRY; LAND RECLAMATION; OPTICAL PROPERTIES; PHYSIOLOGY; RADIATIVE TRANSFER; SPECTRUM ANALYSIS;

CANOPY SPECTRAL AND DIRECTIONAL REFLECTANCE; PROSAIL; PROSPECT;

REMOTE SENSING;

FORESTRY; REMOTE SENSING;

EID: 34948904204     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.516     Document Type: Conference Paper

References (51)

1. S. Liang, Quantitative remote sensing of land surfaces. WileyInterscience, 2003, 560 pp.
2. W. Verhoef, "Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model," Remote Sens. Environ., vol. 16, pp. 125-141, 1984.
3. W. Verhoef, "Earth observation modeling based on layer scattering matrices," Remote Sens. Environ., vol. 17, pp. 165-178, 1985.
4. G.H. Suits, "The calculation of the directional reflectance of a vegetative canopy," Remote Sens. Environ., vol. 2, pp. 117-125, 1972.
5. A. Kuusk, "The hot spot effect in plant canopy reflectance," in PhotonVegetation Interactions. Applications in Optical Remote Sensing and Plant Ecology, R.B. Myneni and J. Ross, Eds. Berlin: Springer Verlag, pp. 139-159, 1991.
6. A. Rosema, W. Verhoef, J. Schroote, and J.F.H. Snel, "Simulating fluorescence light-canopy interaction in support of laser-induced fluorescence measurements," Remote Sens. Environ., vol. 37, pp. 117-130, 1991.
7. J. Miller et al., "Development of a Vegetation Fluorescence Canopy Model", ESTEC Contract No. 16365/02/NL/FF, 2005, 138 pp.
8. K.F. Huemmrich, "The GeoSail model: a simple addition to the SAIL model to describe discontinuous canopy reflectance," Remote Sens. Environ., vol. 75, pp. 423-431, 2001.
9. W. Verhoef, L. Jia, Q. Xiao, and Z. Su, "Unified optical-thermal fourstream radiative transfer theory for heterogenous vegetation canopies," unpublished.
10. S. Jacquemoud, and F. Baret, "PROSPECT: a model of leaf optical properties spectra," Remote Sens. Environ., vol. 34, pp. 75-91, 1990.
11. T. Fourty, F. Baret, S. Jacquemoud, G. Schmuck, and J. Verdebout, "Optical properties of dry plant leaves with explicit description of their biochemical composition: direct and inverse problems," Remote Sens. Environ., vol. 56, pp. 104-117, 1996.
12. S. Jacquemoud, S.L. Ustin, J. Verdebout, G. Schmuck, G. Andreoli, and B. Hosgood, "Estimating leaf biochemistry using the PROSPECT leaf optical properties model," Remote Sens. Environ., vol. 56, pp. 194-202, 1996.
13. S. Jacquemoud, C. Bacour, H. Poilvé, and J.P. Frangi, "Comparison of four radiative transfer models to simulate plant canopies reflectance Direct and inverse mode," Remote Sens. Environ., vol. 74, pp. 471-481, 2000.
14. L. Bousquet, S. Lachérade, S. Jacquemoud, and I. Moya, "Leaf BRDF measurement and model for specular and diffuse component differentiation," Remote Sens. Environ., vol. 98, pp. 201-211, 2005.
15. R. Pedros, Y. Goulas, S. Jacquemoud, J. Louis, I. Moya, "A new leaf fluorescence model. Part 1: Fluorescence excitation & Part 2: fluorescence emission," unpublished.
16. N.S. Goel, "Inversion of canopy reflectance models for estimation of biophysical parameters from reflectance data," in Theory and Applications of Optical Remote Sensing, G. Asrar, Ed. Wiley Interscience, pp. 205-251, 1989.
17. A. Kuusk, "A multispectral canopy reflectance model," Remote Sens. Environ., vol. 50, pp. 75-82, 1994.
18. P. Ceccato, N. Gobron, S. Fiasse, B. Pinty, and S. Tarantola, "Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. Theoretical approach," Remote Sens. Environ., vol. 82, pp. 188-197, 2002.
19. V. Demarez, and J.P. Gastellu-Etchegorry, "A modeling approach for studying forest chlorophyll content," Remote Sens. Environ., vol. 71, pp. 226-238, 2000.
20. P. Bowyer, and F.M. Danson, "Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level," Remote Sens. Environ., vol. 92, pp. 297-308, 2004.
21. W. Verhoef, and H. Bach, "Remote sensing data assimilation using coupled radiative transfer models", Phys. Chem. Earth, vol. 28, pp. 3-13, 2003.
22. W. Verhoef, and H. Bach, "Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models," Remote Sens. Environ., vol. 87, pp. 23-41.
23. B. Koetz, M. Schaepman, F. Morsdorf, P. Bowyer, K Itten, and B. Allgöwer, "Radiative transfer modeling within heterogeneous canopy for estimation of forest fire fuel properties," Remote Sens. Environ., vol. 92, pp. 332-344, 2004.
24. P.J. Zarco-Tejada, J.R. Miller, A. Morales, A. Berjona, and J. Agüerad, "Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops," Remote Sens. Environ., vol. 90, pp. 463476, 2004.
25. P.J. Zarco-Tejada et al., "Needle chlorophyll content estimation through model inversion using hyperspectral data from Boreal conifer forest canopies," Remote Sens. Environ., vol. 89, pp. 1989-1999, 2004.
26. F. Baret, S. Jacquemoud, G. Guyot, and C. Leprieur, "Modeled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands", Remote Sens. Environ., vol. 41, pp. 133-142, 1992.
27. S. Jacquemoud, "Inversion of the PROSPECT+SAIL canopy reflectance model from AVIRIS equivalent spectra: theoretical study," Remote Sens. Environ., vol. 44, pp. 281-292, 1993.
28. F. Baret, V.C. Vanderbilt, M.D. Steven, and S. Jacquemoud, "Use of spectral analogy to evaluate canopy reflectance sensitivity to leaf optical properties," Remote Sens. Environ., vol. 48, pp. 253-260, 1994.
29. B. Andrieu, F. Baret, S. Jacquemoud, T. Malthus, and M.D. Steven, "Evaluation of an improved version of the SAIL model to simulate bidirectional reflectance of sugar beet canopies," Remote Sens. Environ., vol. 60, pp. 247-267, 1997.
30. F.M. Danson, and Y.Y. Aldakheel, "Diurnal water stress in sugar beet: spectral reflectance measurements and modelling," Agronomie, vol. 20, pp. 31-39, 2000.
31. J.G.P.W. Clevers, and W. Verhoef, "LAI estimation by means of the WDVI: a sensitivity analysis with a combined PROSPECT-SAIL model," Remote Sens. Rev., vol. 7, pp. 43-64, 1993.
32. F. Baret, J.G.P.W. Clevers, and M.D. Steven, "The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches", Remote Sens. Environ., vol. 54, pp. 141-151, 1995.
33. D. Haboudane, J.R. Miller, N. Tremblay, P.J. Zarco-Tejada, and L. Dextraze, "Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture," Remote Sens. Environ, vol. 81, pp. 416-426, 2002.
34. P.J. Zarco-Tejada, CA. Rueda, and S.L. Ustin, "Water content estimation in vegetation with MODIS reflectance data and model inversion methods," Remote Sens. Environ., vol. 85, pp. 109-124, 2003.
35. th Int. Symp. Physical Measurements & Signatures in Remote Sensing, Aussois (France), 8-12 January 2001, CNES, pp. 481-486, 2001.
36. C. Bacour, S. Jacquemoud, Y. Tourbier, M. Dechambre, and J.P. Frangi, "Design and analysis of numerical experiments to compare four canopy reflectance models," Remote Sens. Environ., vol. 79, pp. 72-83, 2002.
37. th Int. Symp. Physical Measurements & Signatures in Remote Sensing, Beijing (China), 17-19 October 2005, pp. 324-327.
38. P.J. Zarco-Tejada, J.R. Miller, R. Pedros, W. Verhoef, and M. Berger, "FluorMODgui V3.0: A Graphic User Interface for the spectral simulation of leaf and canopy chlorophyll fluorescence," Computers & Geosciences, in press, [http://www.ias.csic.es/fluormod/]
39. S. Jacquemoud, and F. Baret, "Estimating vegetation biophysical parameters by inversion of a reflectance model on high spectral resolution data", in Crop Structure and Ligth Microclimate: Characterization and Applications, C. Varlet-Grancher, R. Bonhomme, and H. Sinoquet, Eds. Versailles: INRA Editions, pp. 339-350, 1993.
40. S. Jacquemoud, F. Baret, B. Andrieu, F.M. Danson, and K. Jaggard, "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., vol. 52, pp. 163-172, 1995.
41. P.J. Zarco-Tejada, J.R. Miller, T.L. Noland, G.H. Mohammed, and P.H. Sampson, "Scaling-up and model inversion methods with narrow-band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 39, pp. 1491-1507, 2001.
42. th International Symposium on Physical Measurements and Signatures in Remote Sensing, Val d'Isère (France), 17-21 January 1994, CNES, pp. 291-298, 1994.
43. C. Bacour et al., "Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data," Agronomie, vol. 22, pp. 555-565, 2002.
44. M. Meroni, R. Colombo, and C. Panigada, "Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations," Remote Sens. Environ., vol. 92, pp. 195-206, 2004.
45. M. Weiss, F. Baret, R.B. Myneni, A. Pragnère, and Y. Knyazikhin, "Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data," Agronomie, vol. 20, pp. 3-22, 2000.
46. B. Combal, F. Baret, and M. Weiss, "Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies," Agronomie, vol. 22, pp. 205-215, 2002.
47. B. Koetz, F. Baret, H. Poilvé, and J. Hill, "Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics," Remote Sens. Environ., vol. 95, pp. 115-124, 2005.
48. M. Weiss, and F. Baret, "Evaluation of canopy biophysical variable retrieval performances from the accumulation of large swath satellite data," Remote Sens. Environ., vol. 70, pp. 293-306, 1999.
49. C. Bacour et al., "Neural network estimation of LAI, fAPAR, fCover and LAIxCab, from top of canopy MERIS reflectance data: principles and validation," unpublished.
50. M. Weiss et al., "Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data," Agronomie, vol. 22, pp. 547-553, 2002.
51. B. Combal et al., "Retrieval of canopy biophysical variables from bidirectional reflectance using prior information to solve the ill-posed inverse problem," Remote Sens. Environ, vol. 84, pp. 1-15, 2002.