A comparison of the effectiveness of 6S and SMAC in correcting for atmospheric interference of meteosat second generation images

Journal of Geophysical Research Atmospheres

Volumn 115, Issue 17, 2010, Pages

  Proud, S R ^a   Fensholt, R ^a   Rasmussen, M O ^a   Sandholt, I ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

OZONE; RADIATIVE TRANSFER; REMOTE SENSING; WATER CONTENT; WEATHER SATELLITES;

ATMOSPHERIC CONDITIONS; ATMOSPHERIC CORRECTIONS; ATMOSPHERIC PERTURBATIONS; EARTH'S SURFACE; IN-CHANNELS; INFRARED IMAGERS; METEOSAT SECOND GENERATIONS; RADIATIVE TRANSFER CODES; RELATIVE ERRORS; REMOTELY SENSED IMAGERY; SATELLITE SIGNALS; SIMPLIFIED METHOD; SOLAR SPECTRUM; WATER VAPOR CONTENTS; ZENITH ANGLE;

WATER VAPOR;

ACCURACY ASSESSMENT; ATMOSPHERIC CORRECTION; COMPARATIVE STUDY; IMAGE ANALYSIS; METEOSAT; OZONE; PERTURBATION; RADIATIVE TRANSFER; REMOTE SENSING; SATELLITE IMAGERY; WATER VAPOR; ZENITH ANGLE;

AFRICA;

EID: 77957552431     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009JD013693     Document Type: Article

References (35)

1. Akinyemi, M., and E. Oladiran (2006), Temporal and spatial variability of ozone concentration over four African stations, J. Appl. Sci., 7, 913-917.
2. Aminou, D. (2002), MSG?s SEVIRI instrument, ESA Bull., 111, 15-17.
3. Beal, D., F. Baret, M. Weiss, X. Gu, and M. Verbrugghe (2003), A method for MERIS atmospheric correction based on the spectral and spatial observation, Geoscience and Remote Sensing Symposium, 2003. IGARSS ?03. Proceedings, 6, 3601-3603.
4. Berthelot, B. (2003), Coefficients SMAC pour MSG, Tech. Rep. NOV- 3066-NT-834, Noveltis, Ramonville Saint Agne, France.
5. Deuzé, J., M. Herman, and R. Santer (1989), Fourier series expansion of the transfer equation in the atmosphere-ocean system, J. Quant. Spectrosc. Radiat. Transfer, 41, 483-494.
6. Dubin, M., N. Sissenwine, and H. Wexler (1962), U. S. Standard Atmosphere, 1962, technical report, U.S. Government Printing Office, Washington D. C.
7. European Organisation for the Exploitation of Meteorological Satellites (2006), Conversion from Radiances to Reflectances for SEVIRI Warm Channels
8. European Organisation for the Exploitation of Meteorological Satellites (2007), Meteosat-8/MSG1-Spectral Response.
9. Fensholt, R., I. Sandholt, S. Stisen, and C. Tucker (2006), Analysing NDVI for the African continent using the geostationary meteosat second generation SEVIRI sensor, Remote Sens. Environ., 101, 212-229.
10. Fensholt, R., S. Huber, S. R. Proud, and C. Mbow (2009), Detecting canopy water stress using shortwave infrared reflectance data from polar orbiting and geostationary platforms, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), in press.
11. Gao, B., and Y. Kaufman (1998), The MODIS Near-IR Water Vapor Algorithm, algorithm theoretical basis document.
12. Geiger, B., L. Franchistéguy, D. Lajas, and J. Roujean (2004), Operational near real-time derivation of land surface albedo and down-welling shortwave radiation from MSG observations, in Second MSG RAO Workshop, vol.582, p. 143.
13. Goody, R., and Y. Yung (1996), Atmospheric Radiation: Theoretical Basis, 158-169 pp., New York: Oxford University Press.
14. Govaerts, Y., I. Arriaga, and J. Schlnetz (2001), Operational vicarious calibration of the MSG/SEVIRI solar channels, Adv. Space Res., 29, 21-30.
15. Hagolle, O., G. Dedieu, B. Mougenot, V. Debaecker, B. Duchemin, and A. Meygret (2008), Correction of aerosol effects on multi-temporal images acquired with constant viewing angles: Application to Formosat-2 images, Remote Sens. Environ., 112, 1689-1701.
16. Herman, B., and S. Browning (1975), The effect of aerosols on the Earthatmosphere albedo, J. Atmos. Sci., 32, 1430-1445.
17. Justice, C., et al. (1998), The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global change research, IEEE Transact. Geosci. Remote Sens., 36, 1228-1249.
18. Knapp, K. R., R. Frouin, S. Kondragunta, and A. Prados (2005), Toward aerosol optical depth retrievals over land from GOES visible radiances: Determining surface reflectance, Int. J. Remote Sens., 26, 4097-4116.
19. Kotchenova, S. Y., and E. F. Vermote (2007), A vector version of the 6s radiative transfer code for atmospheric correction of satellite data, in 29th Review of Atmospheric Transmission Models Meeting.
20. Kotchenova, S., E. Vermote, R. Matarrese, and F. Klemm (2006), Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: Path radiance, Appl. Opt., 45, 6762-6774.
21. Kotchenova, S., E. Vermote, R. Levy, and A. Lyapustin (2008), Radiative transfer codes for atmospheric correction and aerosol retrieval: intercomparison study, Appl. Opt., 47, 2215-2226.
22. Lenoble, J., M. Herman, J. Deuzé, B. Lafrance, R. Santer, and D. Tanré (2007), A successive order of scattering code for solving the vector equation of transfer in the earth?s atmosphere with aerosols, J. Quant. Spectrosc. Radiat. Transfer, 107, 479-507.
23. Maisongrande, P., B. Duchemin, and G. Dedieu (2004), VEGETATION/ SPOT: An operational mission for the Earth monitoring; presentation of new standard products, Int. J. Remote Sens., 25, 9-14.
24. Malkmus, W. (1967), Lorentz band model with exponential-tailed S-1 lineintensity distribution function, J. Opt. Soc. Am., 57, 323-329.
25. Min, Q., and M. Duan (2004), A successive order of scattering model for solving vector radiative transfer in the atmosphere, J. Quant. Spectrosc. Radiat. Transfer, 87, 243-259.
26. Popp, C., M. Riffler, E. Emili, M. Petitta, and S. Wunderle (2009), Evaluation of operationally derived aerosol optical depth from MSG-SEVIRI over central Europe, in Geophysical Research Abstracts,. Vol.11, EGU2009-8468, 2009. EGU, Munich, Germany.
27. Rahman, H., and G. Dedeiu (1994), SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum, Int. J. Remote Sens., 15, 123-143.
28. Randel, D., T. Vonder Haar, M. Ringerud, G. Stephens, T. Greenwald, and C. Combs (1996), A new global water vapor dataset, Bull. Am. Meteorol. Soc., 77, 1233-1246.
29. Schmetz, J., P. Pili, S. Tjemkes, D. Just, J. Kerkmann, S. Rota, and A. Ratier (2002), An introduction to Meteosat Second Generation (MSG), Bull. Am. Meteorol. Soc., 83, 977-992.
30. Seemann, S., E. Borbas, J. Li, W. Menzel, and L. Gumley (2006), MODIS Atmospheric Profile Retreival Algorithm Theoretical Basis Document.
31. Snyder, W. (2002), Reciprocity of the bidirectional reflectance distribution function (BRDF) in measurements and models of structured surfaces, IEEE Transact. Geosci. Remote Sens., 36, 685-691.
32. Vermote, E., D. Tanre, J. Deuze, M. Herman, and J.-J. Morcette (1997), Second simulation of the satellite signal in the solar spectrum, 6S: An overview, IEEE Transact. Geosci. Remote Sens., 35, 675-686.
33. Vermote, E., D. Tanreé, J. Deuzé, M. Herman, J. Morcrette, and S. Y. Kotchenova (2006), Second simulation of the satellite signal in the solar spectrum (6S), 6S user guide, version 3, part 1, NASA Goddard Space Flight Center.
34. Vermote, E. F., and A. Vermeulen (1999), Algorithm Theoretical Background Document, Atmospheric Correction Algorithm: Spectral Reflectances (MOD09), p. 39
35. Zdunkowski, W., T. Trautmann, and A. Bott (2007), Radiation in the Atmosphere: A Course in Theoretical Meteorology, 92-95 pp., Cambridge University Press