Atmospheric correction of SeaWiFS ocean color imagery in the presence of absorbing aerosols off the Indian coast using a neuro-variational method

Geophysical Research Letters

Volumn 35, Issue 20, 2008, Pages

  Brajard, Julien ^a   Moulin, C ^b   Thiria, S ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

^b LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOLS; AIR POLLUTION; ATMOSPHERICS; BAND STRUCTURE; IMAGE ENHANCEMENT; IMAGING TECHNIQUES; LANDFORMS; OPTICAL PROPERTIES; REFLECTION; STANDARDS;

ABSORBING AEROSOLS; AEROSOL OPTICAL PROPERTIES; AEROSOL OPTICAL THICKNESSES; AEROSOL PLUMES; ATMOSPHERIC CORRECTIONS; GENERAL METHODS; OCEAN COLORS; POLLUTANT SOURCES; SEAWIFS; STANDARD ALGORITHMS; TEMPORAL STABILITIES; VARIATIONAL METHODS; WIDE FIELDS;

ATMOSPHERIC AEROSOLS;

AEROSOL; ALGORITHM; ATMOSPHERIC CORRECTION; OCEAN COLOR; SATELLITE IMAGERY; SEAWIFS;

EID: 58249093416     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008GL035179     Document Type: Article

References (15)

1. Banzon, V., R. Evans, H. Gordon, and R. Chomko (2004), SeaWiFS observations of the Arabian Sea southwest monsoon bloom for the year 2000, Deep Sea Res., Part II, 51, 189-208.
2. Brajard, J., C. Jamet, C. Moulin, and S. Thiria (2006a), Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols, Neural Networks, 19(2), 178-185.
3. Brajard, J., C. Jamet, C. Moulin, and S. Thiria (2006b), Validation of a neuro-variational inversion of ocean color images, Adv. Space Res., 38(2), 2169-2175.
4. Chomko, R., and H. Gordon (1998), Atmospheric correction of ocean color imagery: Use of the Junge power-law aerosol size distribution with variable refractive index to handle aerosol absorption, Appl. Opt., 37, 5560-5572.
5. Chomko, R., and H. Gordon (2001), Atmospheric correction of ocean color imagery: Test of the spectral optimization algorithm with SeaWiFS, Appl. Opt., 40, 2973-2984.
6. Gordon, H. (1997), Atmospheric correction of ocean color imagery in the earth observing system era, J. Geophys. Res., 102, 17,081-17,106.
7. Gordon, H., and M. Wang (1994), Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: A preliminary algorithm, Appl. Opt., 33, 443-452.
8. Gordon, H., T. Du, and T. Zhang (1997), Remote sensing of ocean color and aerosol properties: Resolving the issue of aerosol absorption, Appl. Opt., 36, 8670-8684.
9. Jamet, C., S. Thiria, C. Moulin, and M. Crepon (2005), Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from ocean color imagery: A feasibility study, J. Atmos. Oceanic Technol., 22(4), 460-475, doi:10.1175/JTECH1688.1.
10. Léon, J.-F., P. Chazette, J. Pelon, F. Dulac, and H. Randriamiarisoa (2002), Aerosol direct radiative impact over the INDOEX area based on passive and active remote sensing, J. Geophys. Res., 107(D19), 8006, doi:10.1029/2000JD000116.
11. Moulin, C., H. R. Gordon, R. M. Chomko, V. F. Banzon, and R. H. Evans (2001), Atmospheric correction of ocean color imagery through thick layers of Saharan dust, Geophys. Res. Lett., 28, 5-8.
12. O'Reilly, J. E., S. Maritorena, B. G. Mitchell, D. A. Siegel, K. L. Carder, S. A. Garver, M. Kahru, and C. McClain (1998), Ocean color chlorophyll algorithms for SeaWiFS, J. Geophys. Res., 103, 24,937-24,953.
13. Pelon, J., C. Flamant, P. Chazette, J.-F. Leon, D. Tame, M. Sicard, and S. K. Satheesh (2002), Characterization of aerosol spatial distribution and optical properties over the Indian Ocean from airborne LIDAR and radiometry during INDOEX'99, J. Geophys. Res., 107(D19), 8029, doi:10.1029/2001JD000402.
14. Ramanathan, V., et al. (2001), Indian Ocean Experiment: An integrated analysis of the climate forcing and effects of the great Indo-Asian haze, J. Geophys. Res., 106, 28,371-28,398.
15. Talagrand, O., and P. Courtier (1987), Variational assimilation of meteorological observations with the adjoint vorticity equation. I: Theory, Q. J. R. Meteorol. Soc., 113, 1311-1328.