The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The MERIS Case 2 water algorithm
Abstract
The paper describes the case 2 coastal water algorithm, which has been developed for the ground processor of the Medium Resolution Imaging Spectrometer (MERIS). The spectrometer is operated on board the earth observation satellite ENVISAT of the European Space Agency ESA. The algorithm derives the inherent optical properties (IOP) (1) absorption coefficient of phytoplankton pigment, (2) absorption coefficient of gelbstoff and total suspended matter after bleaching the phytoplankton pigment fraction and (3) the scattering coefficient of total suspended matter (TSM). The IOPs of (1) and (3) are also converted into the concentrations of chlorophyll a and TSM dry weight. The algorithm is based on a neural network (NN), which relates the bi‐directional water leaving radiance reflectances with these IOPs. The network is trained with simulated reflectances. The bio‐optical model used for the simulations is based on a large data set collected mainly in European waters. One special feature is the combination of a forward NN and a backward NN, which allows testing if the measured spectrum is within the scope of the training set. The comparison with independent test data sets, in situ observations and with the case 1 water algorithm used for MERIS show a good agreement.
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Citations
Cites
Absorption spectrum (380–700 nm) of pure water II Integrating cavity measurements
Pope, R. M., & Fry, E. S. (1997) · Applied Optics · doi:10.1364/ao.36.008710 · Cited by 2,297
Light and Water: Radiative Transfer in Natural Waters
Mobley, C. D. (1994) · Medical Entomology and Zoology · Cited by 2,153
Lee, Z., Carder, K. L., & Arnone, R. A. (2002) · Applied Optics · doi:10.1364/ao.41.005755 · Cited by 1,709
Optical modeling of the upper ocean in relation to its biogenous matter content (case I waters)
Morel, A. (1988) · Journal of Geophysical Research: Oceans · doi:10.1029/jc093ic09p10749 · Cited by 1,419
Babin, M., Stramski, D., Ferrari, G. M., Claustre, H., Bricaud, A., Obolensky, G., & Hoepffner, N. (2003) · Journal of Geophysical Research: Oceans · doi:10.1029/2001jc000882 · Cited by 972
Optical Aspects of Oceanography
Allnutt, A. J. (1975) · Optica Acta: International Journal of Optics · doi:10.1080/716099370 · Cited by 665
Carder, K. L., Chen, F. R., Lee, Z. P., Hawes, S. K., & Kamykowski, D. (1999) · Journal of Geophysical Research: Oceans · doi:10.1029/1998jc900082 · Cited by 553
Schiller, H., & Doerffer, R. (1999) · International Journal of Remote Sensing · doi:10.1080/014311699212443 · Cited by 299
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Cited by
Chlorophyll algorithms for ocean color sensors - OC4, OC5 & OC6
O'Reilly, J. E., & Werdell, P. J. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.04.021 · Cited by 523
Adjovu, G. E., Stephen, H., James, D., & Ahmad, S. (2023) · Remote Sensing · doi:10.3390/rs15143534 · Cited by 292
Algal biomass mapping of eutrophic lakes using a machine learning approach with MODIS images
Lai, L., Zhang, Y., Cao, Z., Liu, Z., & Yang, Q. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.163357 · Cited by 43
Metadata
- Authors
- Doerffer, R., & Schiller, H.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2007-02
- Volume
- 28
- Issue
- 3-4
- Pages
- 517-535
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W1999676742
- Cited by
- 549
- References
- 8
- FWCI
- 10.63
- Type
- journal article
- Language
- en
- Open access
- closed
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