Share Email Print

Proceedings Paper

Atmospheric correction for inland waters: application to SeaWiFS and MERIS
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

As the spatial resolution is improved for "ocean color" satellite sensors, such observations become relevant to monitor water quality for lakes. The required atmospheric corrections can not be conducted using the standard algorithms developed for ocean: need to account for the lake elevation, high water turbidity... The new generation of sensors has more spectral bands which allow to characterize the aerosol over dark land pixels (vegetation in the blue and in the red). Dense vegetation is identified using a spectral index and its reflectance is known from auxiliary data. We then derive, from the top of atmosphere radiances in two spectral bands, the optical thickness and the size distribution for aerosol. Knowing the aerosol model in the lake vicinity, it is then possible to apply atmospheric corrections over inland waters. A specific difficulty arises from the contamination of the photons reflected by the surrounding land and scattered towards the sensor. A simple formulation to correct this adjacency effect can be used for the Rayleigh scattering. We force the 865 nm water reflectance to be equal to zero to derive for each water pixel a function describing the aerosol adjacency effect. Assuming that the aerosol phase function does not vary much with the wavelength, we can correct all the spectral bands. The different stages of this new algorithm are illustrated on SeaWiFS.

Paper Details

Date Published: 8 May 2003
PDF: 10 pages
Proc. SPIE 4892, Ocean Remote Sensing and Applications, (8 May 2003); doi: 10.1117/12.467266
Show Author Affiliations
Jérome Vidot, Univ. du Littoral Côte d'Opale (France)
Richard P. Santer, Univ. du Littoral Côte d'Opale (France)

Published in SPIE Proceedings Vol. 4892:
Ocean Remote Sensing and Applications
Robert J. Frouin; Yeli Yuan; Hiroshi Kawamura, Editor(s)

© SPIE. Terms of Use
Back to Top