Advances in satellite oceanography

Brown, Otis B.; Cheney, Robert E.

doi:10.1029/rg021i005p01216

Cited by 24 publications

(13 citation statements)

References 297 publications

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“…Satellite imagery has promised (and in most cases provided) information on the ocean over a range of scales not attainable previously [e.g., Brown and Cheney, 1983;Maul, 1985;Robinson, 1985;Stewart, 1985]. We have learned much about joint physical and biological processes in the ocean from satellite measurements of sea surface temperature [e.g., Njoku et al, 1985] and of phytoplankton plant pigment derived from the coastal zone color scanner (CZCS) on Nimbus 7 [e.g., Gordon et al, 1983a].…”

Section: Introductionmentioning

confidence: 99%

Time evolution of surface chlorophyll patterns from cross‐spectrum analysis of satellite color images

Denman¹,

Abbott²

1988

J. Geophys. Res.

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Sequences of coastal zone color scanner (CZCS) images from the offshore region adjacent to Vancouver Island, Canada, have been analyzed to estimate the time rate of decorrelation of surface phytoplankton chlorophyll pigment patterns. In these high‐latitude, high‐pigment areas, CZCS‐derived pigment estimates were lower than those obtained from ship samples by about a factor of 3, their frequency distributions were skewed in opposite directions, and subareas of the images often showed a discontinuity in the frequency distribution at a concentration of 1.5 mg m−3, where the algorithm changes CZCS bands. We selected cloud‐free subareas that were common to several images separated in time by 1–17 days. Image pairs were subjected to two‐dimensional auto spectrum and cross‐spectrum analysis in an array processor, and spectra of squared coherence were formed. The squared coherence estimates for several wave bands were plotted against time separation, in analogy with a time‐lagged cross correlation function. Threshold levels for significant coherence were estimated from many realizations of squared coherence calculated for pairs of synthetic random uncorrelated fields with specified power law behavior κ−1.5, near the observed range κ−1.5–κ−2. For wavelengths of 50–150 km, significant coherence is lost after 7–10 days, and for wavelengths of 25–50 km, significant coherence is lost after 5–7 days; in both cases offshore regions maintain coherence longer than coastal regions. For wavelengths of 12.5–25 km, only the offshore regions maintained coherence after 1 day, but that was clearly lost after the next time separation of 6 days. The implication for the formation of monthly average large‐scale surface maps to estimate open ocean productivity (e.g., Esaias et al., 1986) is that all mesoscale patterns (<150‐km length scale) will not be resolved.

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Section: Introductionmentioning

confidence: 99%

Time evolution of surface chlorophyll patterns from cross‐spectrum analysis of satellite color images

Denman¹,

Abbott²

1988

J. Geophys. Res.

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“…It has been eight years since the last U. S. National Report on satellite remote sensing in oceanography [ Brown and Cheney , 1983]. At that time, final algorithms for the suite of oceanographic instruments on the proof‐of‐concept Seasat satellite [ Stewart , 1988] had only recently been accepted and implemented, making the data widely available for oceanographic applications.…”

Section: Introductionmentioning

confidence: 99%

Advances in Passive Remote Sensing of the Ocean

Abbott

Chelton

1991

Reviews of Geophysics

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Remote sensing of ocean processes using infrared, visible, and passive microwave data has advanced considerably over the last eight years. Although the basic sensors remained the same, techniques for processing and deriving geophysical and biological data have improved substantially. Infrared data are used routinely to derive high quality sea surface temperature estimates, and visible data are used to produce estimates of near‐surface phytoplankton pigment concentrations. Passive microwave data are used to estimate sea surface temperature, water vapor, wind speed, and rain rate. These basic data sets are then in turn used in estimating upper ocean velocities, water column primary production, and air/sea fluxes of latent heat and freshwater. Challenges remain in the area of algorithm development, but improvements in data processing and access has expanded the volume and range of oceanographic applications of these satellite data sets.

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“…Put together, these cover the full range of temporal and spatial resolutions for which satellite data are required and illustrate the accuracies needed for research and operational purposes. A more general review of applications of satellites to oceanography has been provided by Brown and Cheney [1983]. estimating cloud heights.…”

Section: Introductionmentioning

confidence: 99%

Advances in satellite sea surface temperature measurement and oceanographic applications

et al. 1985

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Satellite techniques for measurement of sea surface temperature (SST) are reviewed briefly, and a discussion of satellite SST applications and recent research in oceanography is provided. These applications include the areas of climate, mesoscale oceanography, and fisheries. Examples given focus mainly on the Pacific and California Current regions. Satellite SST data are currently used operationally for fisheries applications and, in conjunction with in situ data, are providing new insights into mesoscale oceanographic phenomena. Requirements for sensor precision and calibration accuracy are more stringent in air‐sea interaction studies and climate research, thus satellite data have gained only qualified acceptance for these applications. Improvements in future satellite instruments, more comprehensive in situ sensor deployments, and better data management procedures should eventually satisfy most oceanography and climate SST requirements.

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Advances in satellite oceanography

Cited by 24 publications

References 297 publications

Time evolution of surface chlorophyll patterns from cross‐spectrum analysis of satellite color images

Time evolution of surface chlorophyll patterns from cross‐spectrum analysis of satellite color images

Advances in Passive Remote Sensing of the Ocean

Advances in satellite sea surface temperature measurement and oceanographic applications

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