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Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters

Open access
Ruddick, Kevin George, Ovidio, Fabrice, Rijkeboer, Machteld·2000·Applied Optics

Abstract

The standard SeaWiFS atmospheric correction algorithm, designed for open ocean water, has been extended for use over turbid coastal and inland waters. Failure of the standard algorithm over turbid waters can be attributed to invalid assumptions of zero water-leaving radiance for the near-infrared bands at 765 and 865 nm. In the present study these assumptions are replaced by the assumptions of spatial homogeneity of the 765:865-nm ratios for aerosol reflectance and for water-leaving reflectance. These two ratios are imposed as calibration parameters after inspection of the Rayleigh-corrected reflectance scatterplot. The performance of the new algorithm is demonstrated for imagery of Belgian coastal waters and yields physically realistic water-leaving radiance spectra. A preliminary comparison with in situ radiance spectra for the Dutch Lake Markermeer shows significant improvement over the standard atmospheric correction algorithm. An analysis is made of the sensitivity of results to the choice of calibration parameters, and perspectives for application of the method to other sensors are briefly discussed.

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Metadata

Authors
Ruddick, K. G., Ovidio, F., & Rijkeboer, M.
Venue
Applied Optics
Published
2000-02-20
Volume
39
Issue
6
Pages
897
ISSN
  • 0003-6935 (ISSN-L)
  • 1539-4522
OpenAlex
W2159669130
Cited by
615
References
0
FWCI
10.65
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters. https://app.cochat.ai/papers/10.1364/ao.39.000897
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Ruddick, K. G., Ovidio, F., & Rijkeboer, M. (2000). Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters. Applied Optics. https://doi.org/10.1364/ao.39.000897

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.