The DOI matches its Crossref record.
Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Bottom-up ecosystem trophic dynamics determine fish production in the Northeast Pacific
Ware, D. M., & Thomson, R. E. (2005) · Science · doi:10.1126/science.1109049 · Cited by 668
Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing
Emberton, S., Chittka, L., Cavallaro, A., & Wang, M. (2015) · Remote Sensing · doi:10.3390/rs8010001 · Cited by 486
Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8
Vanhellemont, Q., & Ruddick, K. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.02.007 · Cited by 342
Self-citationGernez, P., Doxaran, D., & Barillé, L. (2017) · Frontiers in Marine Science · doi:10.3389/fmars.2017.00137 · Cited by 85
Metadata
- Authors
- Ruddick, K. G., Ovidio, F., & Rijkeboer, M.
- Venue
- Applied Optics
- Publisher
- Optica Publishing Group
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.