Derivation of diurnal courses of albedo and reflected solar irradiance from airborne POLDER data acquired near solar noon

Journal of Geophysical Research D: Atmospheres

Volumn 110, Issue 10, 2005, Pages 1-18

  Jacob, Frédéric ^a   Olioso, Albert ^b  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b CEMAGREF   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALBEDO; DIURNAL ACTIVITY; POLDER; RADIATIVE TRANSFER; REMOTE SENSING; SOLAR RADIATION;

EID: 21444443670     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2004JD004888     Document Type: Article

References (77)

1. Baret, F. (2000), RESEDA: Assimilation of multisensor and multitemporal remote sensing data to monitor soil and vegetation functioning, Final Rep. EC Proj. ENV4CT960326, 59 pp., Inst. Nad. de la Rech. Agron., Paris, France.
2. Baret, F., M. Weiss, M. Leroy, O. Hautecoeur, R. Santer, and A. Bégué (1997), Impact of surface anisotropies on the observation of optical imaging sensors, final report, contract 11341/95/ NL/CN, Eur. Space and Technol. Cent., Noordwijk, Netherlands.
3. Baret, F., et al. (200 1), The ADAM database and its potential to investigate high temporal sampling acquisition at high resolution for the monitoring of agricultural crops, in Romanian Agricultural Research, pp. 69-80, Res. Inst. for Cereals and Ind. Crops, Fundulea, Romania.
4. Barnsley, M., P. Hobson, A. Hyman, W. Lucht, J.-P. Muller, and A. Strahler (2000), Characterizing the spatial variability of broadband albedo, in a semi desert environment for MODIS validation, Remote Sens. Environ., 74, 58-68.
5. Bastiaanssen, W., and L. Chandrapala (2003), Water balance variability across Sri Lanka for assessing agricultural and environmental water use, Agric. Water Manage., 58, 171-192.
6. Brasa-Ramos, A., F. De Santa Olalla, V. Caselles, and A. Jochum (1998), Comparison of evapotranspiration estimates by NOAA-AVHRR images and aircraft flux measurements in a semiarid region of Spain, J. Agric. Eng. Res., 70, 285-294.
7. Brest, C., and S. Goward (1987), Deriving surface albedo measurements from narrow band satellite data, Int. J. Remote Sens., 8, 351-367.
8. Chopping, M. (2000), Testing a LiSK BRDF model with in situ bidirectional reflectance factor measurements over semiarid grasslands, Remote Sens. Environ., 74, 287-312.
9. Cihlar, J., R. Barry, O. Gil, K.-I. Kuma, J. Landwerh, D. Norse, S. Running, R. Scholes, A. Solomon, and S. Whao (1997), GCOS/GTOS plan for terrestrial climate-related observations, version 2.0, Rep. GCOS-32 WMO/TD-796, UNEPIDEIA/TR.97.7, GCOS Jr. Plan. Off., Geneva, Switzerland.
10. Courault, D., P. Lacarrère, P. Clastre, P. Lecharpentier, F. Jacob, O. Marloie, L. Prévot, and A. Olioso (2003), Estimation of surface fluxes in a small agricultural area using the three-dimensional atmospheric model Meso-NH and remote sensing data, Can. J. Remote Sens., 29, 741-754.
11. Dedieu, G., P. Deschamps, and Y. Kerr (1987), Satellite estimation of solar irradiance at the surface of the Earth and of surface albedo using a physical model applied to Meteosat data, J. Clim. Appl. Meteorol., 26, 79-87.
12. Dickinson, R. (1983), Land surface processes and climate-surface albedos and energy balance, Adv. Geophys., 25, 305-353.
13. Dickinson, R., B. Pinty, and M. Verstraete (1990), Relating surface albedos in GCM to remotely sensed data, Agric. For. Meteorol., 52, 109-131.
14. Engelsen, O., B. Pinty, M. Verstraete, and J. Martonchik (1996), Parametric bidirectional reflectance factor models: Evaluation, improvements and applications, Rep. EUR16426EN, Jt. Res. Cent., Space Appl. Inst., Eur. Comm., Ispra, Italy.
15. François, C., C. Ottlé, A. Olioso, L. Prévot, N. Bruguier, and Y. Ducros (2002), Conversion of 400-1100 nm vegetation albedo measurements into total shortwave broadband albedo using a canopy radiative transfer model, Agron. Agric. Environ., 22, 611-618.
16. Grant, I., A. Prata, and R. Ceche (2000), The impact of the diurnal variation of albedo on the remote sensing of the daily mean albedo of grassland, J. Appl. Meteorol., 39, 231-244.
17. Henderson-Sellers, A., and M. Wilson (1983), Surface albedo data for climatic modeling, Rev. Geophys., 21, 1743-1778.
18. Jackson, R. (1985), Evaluating evapotranspiration at local and regional scale, Proc. IEEE, 73, 1086-1096.
19. Jacob, F., A. Olioso, X. Gu, Z. Su, and B. Seguin (2002a), Mapping surface fluxes using visible, near infrared, thermal infrared remote sensing data with a spatialized surface energy balance model, Agron. Agric. Environ., 22, 669-680.
20. Jacob, F., A. Olioso, M. Weiss, F. Baret, and O. Hautecoeur (2002b), Mapping short-wave albedo of agricultural surfaces using airborne POLDER data, Remote Sens. Environ., 80, 36-46.
21. Jacob, F., M. Weiss, A. Olioso, and A. French (2002c), Assessing the narrowband to broadband conversion to estimate visible, near infrared and shortwave apparent albedo from airborne POLDER data, Agron. Agric. Environ., 22, 537-546.
22. Jacob, F., F. Petitcolin, T. Schmugge, E. Vermote, K. Ogawa, and A. French (2004), Comparison of land surface emissivity and radiometric temperature from MODIS and ASTER sensors, Remote Sens. Environ., 83, 1-18.
23. Kimes, D., and P. Sellers (1985), Inferring hemispherical reflectance of the Earth's surface for global energy budgets from remotely sensed nadir or directional radiance values, Remote Sens. Environ., 18, 205-223.
24. Kimes, D., P. Sellers, and W. Newcomb (1987), Hemispherical reflectance variations of vegetation canopies and implications for global and regional energy budget studies, J. Clim., Appl. Meteorol., 26, 959-972.
25. Kimes, D., Y. Knyazikhin, J. Privette, A. Abuelgasim, and F. Gao (2000), Inversion methods for physically-based models, Remote Sens. Rev., 18, 381-439.
26. Kustas, W., and K. Humes (1997), Spatially distributed sensible heat flux over a semiarid watershed. Part II: Use of a variable resistance approach with radiometric surface temperatures, J. Appl. Meteorol., 36, 293-301.
27. Kustas, W., and J. Norman (1999), Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover, Agric. For. Meteorol., 94, 13-29.
28. Leroy, M., and O. Hautecoeur (1999), Directional parameters, hemispherical reflectances and angle-corrected NDVIs derived at global scale by the spaceborne POLDER, paper presented at Alps 1999 Conference, Cent. Nail. d'Etudes Spatiales, Méribel, France, 18-22 Jan.
29. Liang, S. (2000), Narrowband to broadband conversions of land surface albedo, I, Algorithms, Remote Sens. Environ., 76, 213-238.
30. Liang, S., and A. Strahler (1993), An analytic BRDF model of canopy radiative transfer and its inversion, IEEE Trans. Geosci. Remote Sens., 31, 1081-1092.
31. Liang, S., A. Strahler, and C. Walthall (1999), Retrieval of land surface albedo from satellite observations: A simulation study, J. Appl. Meteorol., 38, 712-725.
32. Liang, S., H. Fang, M. Chen, C. Shuey, C. Walthall, C. Daughtry, J. Morisette, C. Schaaf, and A. Strahler (2002a), Validating MODIS land surface reflectance and albedo products: Methods and preliminary results, Remote Sens. Environ., 83, 149-162.
33. Liang, S., C. Shucy, A. Russ, H. Fang, M. Chen, C. Walthall, C. Daughtry, and R. Hunt (2002b), Narrowband to broadband conversions of land surface albedo, II, Validation, Remote Sens. Environ., 84, 25-41.
34. Lucht, W. (1998), Expected retrieval accuracies of bidirectional reflectance and albedo from EOS-MODIS and MISR angular sampling, J. Geophys. Res., 103, 8763-8778.
35. Lucht, W., and J. Roujean (2000), Considerations in the parametric modeling of BRDF and albedo from multiangular satellite sensor observations, Remote Sens. Rev., 18, 343-379.
36. Lucht, W., C. Schaaf, and A. Strahler (2000), An algorithm for the retrieval of albedo from space using semi-empirical BRDF models, IEEE Trans. Geosci. Remote Sens., 38, 977-997.
37. Minnis, P., S. Mayor, W. L. Smith, and D. F. Young (1997), Assymetry in the diurnal variation of surface albedo, IEEE Trans. Geosci. Remote Sens., 35, 879-891.
38. Moran, M., W. Kustas, A. Vidal, D. Stannard, J. Blanford, and W. Nichols (1994), Use of ground-based remotely sensed data for surface energy balance evaluation of a semiarid rangeland, Water Resour. Res., 30, 1339-1349.
39. Myhre, G., and A. Myhre (2003), Uncertainties in radiative forcing due to surface albedo changes caused by land-use changes, J. Clim., 16, 1511-1524.
40. Nilson, T., and A. Kuusk (1989), A reflectance model for the homogeneous plant canopy and its inversion, Remote Sens. Environ., 27, 157-167.
41. Noilhan, J., and P. Lacarrere (1995), GCM grid-scale evaporation from mesoscale modeling, J. Clim., 8, 206-223.
42. Olioso, A., et al. (1998), Spatial aspects in the Alpilles-RESEDA project, in Scaling and Modeling in Forestry: Application in Remote Sensing and GIS, edited by D. Marceau, pp. 92-102, Univ. de Montréal, Montreal, Quebec, Canada.
43. Olioso, A., et al. (2002), Monitoring energy and mass transfers during the Alpilles-RESEDA experiment, Agron. Agric. Environ., 22, 597-610.
44. Ottlé, C., and D. Vidal-Madjar (1994), Assimilation of soil moisture inferred from infrared remote sensing in a hydrological model over the HAPEX-MOBILHY region, J. Hydrol., 158, 241-264.
45. Petitcolin, F., and E. Vermote (2002), Land surface reflectance, emissivity and temperature from MODIS middle and thermal infrared data, Remote Sens. Environ., 83, 112-134.
46. Pinty, B., and D. Tanré (1987), The relationship between incident and double-way transmittances: An application for the estimate of surface albedo from satellite over the African sahel, J. Clim. Appl. Meteorol., 41, 893-896.
47. Pinty, B., and M. Verstraete (1992), On the design and validation of surface bidirectional reflectance and albedo model, Remote Sens. Environ., 41, 155-167.
48. Pinty, B., F. Roveda, M. Verstraete, N. Gobron, Y. Govaerts, J. Martonchik, D. Diner, and R. Kahn (2000a), Surface albedo retrieval from Meteosat: I. Theory, J. Geophys. Res., 105, 18,099-18,112.
49. Pinty, B., F. Roveda, M. Verstraete, N. Gobron, Y. Govaerts, J. Martonchik, D. Diner, and R. Kahn (2000b), Surface albedo retrieval from Meteosat: 2. Applications, J. Geophys. Res., 105, 18,113-18,134.
50. Pokrovsky, I., and J. Ronjean (2002), Land surface albedo retrieval via kernel-based BRDF modeling: I. Statistical inversion method and model comparison, Remote Sens. Environ., 84, 100-119.
51. Pokrovsky, I., O. Pokrovsky, and J. Roujean (2003a), Development of an operational procedure to estimate surface albedo from the SEVIRI/MSG observing system by using POLDER BRDF measurements I. Data quality control and accumulation of information corresponding to the IGBP land cover classes, Remote Sen. Environ., 87, 198-214.
52. Pokrovsky, I., O. Pokrovsky, and J. Roujean (2003b), Development of an operational procedure to estimate surface albedo from the SEVIRI/MSG observing system by using POLDER BRDF measurements II. Comparison of several inversion techniques and uncertainty in albedo estimates, Remote Sens. Environ., 87, 215-242.
53. Pragnère, A., F. Baret, M. Weiss, R. Myneni, Y. Knyazikhin, and L. Wang (1999), Comparison of three radiative transfer model inversion techniques to estimate canopy biophysical variables from remote sensing data, in Proceedings of IGARSS 1999, 28 June-2 July 1999, Hamburg, vol. 2, edited by T. Stein, pp. 1093-1095, IEEE Press, Piscataway, N. J.
54. Prévot, L., et al. (1998), Assimilation of multi-sensor and multi-temporal remote sensing data to monitor vegetation and soil: the Alpilles RESEDA project, in IGARSS'98 International Geoscience and Remote Sensing Symposium, vol. 5, edited by L. Tsang, pp. 2399-2401, IEEE Press, Piscataway, N. J.
55. Privette, J., T. Eck, and D. Deering (1997), Estimating spectral albedo and nadir reflectance through inversion of simple BRDF models with AVHRR/ MODIS-like data, J. Geophys. Res., 102, 29,529-29,542.
56. Rahman, H., and G. Dedieu (1994), SMAC: A simplified method for the atmospheric correction of satellite measurements in the solar spectrum, Int. J. Remote Sens., 16, 123-143.
57. Roujean, J., M. Leroy, and P. Deschamps (1992), A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data, J. Geophys. Res., 97, 20,455-20,468.
58. Roujean, J., D. Tanré, F.-M. Bréon, and J. Deuzé (1997), Retrieval of land surface parameters from airborne POLDER bidirectional reflectance distribution function during HAPEX-Sahel, J. Geophys. Res., 102, 11,210-11,218.
59. Russel, M., M. Nunez, M. Chladil, J. Valiente, and E. Lopez-Bacza (1997), Conversion of nadir, narrowband reflectance in red and near infrared to hemispherical surface albedo, Remote Sens. Environ., 61, 16-23.
60. Schaaf, C., et al. (2002), First operational BRDF, albedo nadir reflectance products from MODIS, Remote Sens. Environ., 83, 135-148.
61. Seguin, B., and B. Itier (1983), Using midday surface temperature to estimate daily evaporation from satellite data, Int. J. Remote Sens., 4, 371-383.
62. Sellers, P., et al. (1995), Remote sensing of the land surface for the global change: Models-algorithms-experiments, Remote Sens. Environ., 51, 3-26.
63. Soer, G. (1977), The TERGRA model, a mathematical model for the simulation of the daily behavior of crop surface temperature and actual evapotranspiration, Publ. 46, Neth. Interdep. Work. Comm. for the Appl. of Remote Sens., Delft.
64. Song, J. (1998), Diurnal asymmetry in surface albedo, Agric. For. Meteoral., 92, 181-189.
65. Song, J., and W. Gao (1999), An improved method to derive surface albedo from narrow-band AVHRR satellite data: Narrow-band to broadband conversion, J. Appl. Meteorol., 38, 239-249.
66. Tian, Y., R. Dickinson, L. Zhou, R. Myneni, M. Friedl, C. Schaaf, M. Caroll, and F. Gao (2004), Land boundary conditions from MODIS data and consequences for the albedo of a climate, Geophys. Res. Lett., 31, L05504, doi:10.1029/2003GL019104.
67. Toll, D., D. Shirey, and D. Kimes (1997), NOAA AVHRR land surface albedo algorithm development, Int. J. Remote Sens., 18, 3761-3796.
68. van Leeuwen, W., and J.-L. Roujean (2002), Land surface albedo from the synergistic use of polar (EPS) and geo-stationary (MSG) observing systems. An assessment of physical uncertainties, Remote Sens. Environ., 81, 273-289.
69. Walthall, C., J. Norman, G. Welles, G. Campbell, and G. Blad (1985), Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces, Appl. Opt., 24, 383-387.
70. Wanner, W., X. Li, and A. Strahler (1995), On the derivation of kernels for kernel-driven models of bidirectional reflectance, J. Geophys. Res., 100, 21,077-21,089.
71. Wanner, W., A. Strahler, B. Hu, P. Lewis, J.-P. Muller, X. Li, C. Barker Schaaf, and M. Barnsley (1997), Global retrieval of bidirectional reflectance and albedo over land from FOS MODIS and MISR data: theory and algorithm, J. Geophys. Res., 102, 17,143-17,161.
72. Wassenaar, T., A. Olioso, C. Hasager, F. Jacob, and A. Chehbouni (2002), Estimation of evapotranspiration over heterogeneous pixels, in Proceedings of the First International Symposium on Recent Advances in Quantitative Remote Sensing, September 2002, Valencia, Spain, edited by J. Sobrino, pp. 458-465, Publ. de la Univ. de València, Spain.
73. Weiss, M., and F. Baret (1999), Evaluation of canopy biophysical variable retrival performances from the accumulation of large swath satellite data, Remote Sens. Environ., 70, 293-306.
74. Weiss, M., F. Baret, M. Leroy, A. Bégué, O. Hautecoeur, and R. Santer (1999), Hemispherical reflectance and albedo estimate from the accumulation of across-track Sun-synchronous satellite data, J. Geophys. Res., 104, 22,221-22,232.
75. Weiss, M., F. Baret, M. Leroy, O. Hautecoeur, C. Bacour, L. Prévot, and N. Bruguier (2002a), Evaluation of neural network techniques to estimate canopy biophysical variables from remote sensing data, Agron. Agric. Environ., 22, 547-553.
76. Weiss, M., F. Jacob, F. Baret, A. Pragnère, C. Bruchou, M. Leroy, O. Hautecoeur, L. Prévot, and N. Bruguier (2002b), Evaluation of kernel-driven BRDF models for the normalization of Alpilles/RESEDA POLDER data, Agron. Agric. Environ., 22, 531-536.
77. Zhao, W., M. Tamura, and H. Takahashi (2000), Atmospheric and spectral corrections for estimating surface albedo from satellite data using 6S code, Remote Sens. Environ., 76, 202-212.