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Proceedings Paper

Aerosol remote sensing over land: comparison of two methods
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Paper Abstract

Aerosol remote sensing over land requires knowing the surface reflectance in some spectral bands. Dense dark vegetation can be used in the blue and in the red based on ground based measurements of their reflectances or even space measurements from a statistical analysis for clear days. An aerosol remote sensing algorithm based on DDV is available on MERIS data (Santer et al., 1999). An other alternative is to derive the surface reflectances from space as far as you have ground based characterization of the aerosols to perform suitable atmospheric correction, at least on a representative time series (Borde and Verdebout, 2001). The two algorithms, applied on SeaWiFS images, are compared over three sites (Toulouse, Ispra, Adriatic) for which ground based measurements are available.

Paper Details

Date Published: 9 April 2003
PDF: 11 pages
Proc. SPIE 4891, Optical Remote Sensing of the Atmosphere and Clouds III, (9 April 2003); doi: 10.1117/12.467563
Show Author Affiliations
Jerome Vidot, Univ. du Littoral Cote d'Opale (France)
Regis Borde, Joint Research Ctr. of the European Commission (Italy)
Richard P. Santer, Univ. du Littoral Cote d'Opale (France)


Published in SPIE Proceedings Vol. 4891:
Optical Remote Sensing of the Atmosphere and Clouds III
Hung-Lung Huang; Daren Lu; Yasuhiro Sasano, Editor(s)

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