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Cited by 681

The DOI matches its Crossref record.

Oceanic Primary Production: Estimation by Remote Sensing at Local and Regional Scales

Platt, Trevor, Sathyendranath, Shubha·1988·Science
DOI 10.1126/science.241.4873.1613
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Abstract

Satellites provide the only avenue by which marine primary production can be studied at ocean-basin scales. With maps of chlorophyll distribution derived from remotely sensed data on ocean color as input, deduction of a suitable algorithm for primary production is a problem in applied plant physiology. An algorithm is proposed that combines a spectral and angular model of submarine light with a model of the spectral response of algal photosynthesis. To apply the algorithm at large horizontal scale, a dynamic biogeography is needed for the physiological rate parameters and the biological structure of the water column. Fieldwork to obtain this type of data should be undertaken so that the use of satellite data in modern biological oceanography may be optimized.

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Metadata

Authors
Platt, T., & Sathyendranath, S.
Venue
Science
Publisher
American Association for the Advancement of Science (AAAS)
Published
1988-09-23
Volume
241
Issue
4873
Pages
1613-1620
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
DOI
10.1126/science.241.4873.1613
OpenAlex
W2032810031
Cited by
681
References
0
FWCI
17.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Oceanic Primary Production: Estimation by Remote Sensing at Local and Regional Scales. https://app.cochat.ai/papers/10.1126/science.241.4873.1613
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Platt, T., & Sathyendranath, S. (1988). Oceanic Primary Production: Estimation by Remote Sensing at Local and Regional Scales. Science. https://doi.org/10.1126/science.241.4873.1613

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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.