2001
DOI: 10.1364/ao.40.006682
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Calibration of SeaWiFS I Direct techniques

Abstract: We present an overview of the calibration of the Sea-viewing Wide Field-of View Sensor (SeaWiFS) from its performance verification at the manufacturer's facility to the completion of its third year of on-orbit measurements. These calibration procedures have three principal parts: a prelaunch radiometric calibration that is traceable to the National Institute of Standards and Technology; the Transfer-to-Orbit Experiment, a set of measurements that determine changes in the instrument's calibration from its manuf… Show more

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Cited by 92 publications
(73 citation statements)
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“…Regarding theoretical error budgets for each method [4,18,21,23,31], effective behaviors of results (bias and root mean square error), spectral shapes of the targets leading to potential errors into the model, and finally the temporal sampling, the calibration over white convective clouds was preferred as the best compromise. In addition, this reference is physically very close to the white moon diffuser that provided essential results for SeaWiFs [29]. Fig.…”
Section: Multitemporal Monitoringmentioning
confidence: 55%
See 1 more Smart Citation
“…Regarding theoretical error budgets for each method [4,18,21,23,31], effective behaviors of results (bias and root mean square error), spectral shapes of the targets leading to potential errors into the model, and finally the temporal sampling, the calibration over white convective clouds was preferred as the best compromise. In addition, this reference is physically very close to the white moon diffuser that provided essential results for SeaWiFs [29]. Fig.…”
Section: Multitemporal Monitoringmentioning
confidence: 55%
“…In all cases, difficulties are encountered: aging of the lamp or diffuser themselves may occur requiring a complementary on-board monitoring through diffuser duplication for example [27,28]. Complementarily, the moon is used as a natural and external diffuser to monitor SeaWiFS long-term trends using acquisitions for specific lunar phases [29]. Alternative methods using natural targets from the Earth-atmosphere system were developed: over desert sites [23,24], viewing sunglint [18] or over Antarctica [30].…”
Section: Multitemporal Monitoringmentioning
confidence: 99%
“…This global dataset is not affected by cruise or method biases, unlike the in situ data sets. Furthermore, careful calibration of this instrument (Barnes et al, 2001;Eplee et al, 2001) may make it possible to detect possible long-term evolution of chlorophyll a concentration with time, a point of interest in the context of climate change.…”
Section: Introductionmentioning
confidence: 99%
“…Daily sums of UV irradiance using ISCCP data indicate a similarly good performance with respect to the standard deviations . Herman et al (2009) made a long-term analysis of the Lambertian Equivalent Reflection (LER) data set on a global scale, also including data from the Sea-viewing Wide Field-of-view Sensor (Barnes et al, 2001). Diurnal variations were investigated showing that generally abovesea LER peaks in the morning, in contrast to LER over land, which peaks in the afternoon (Labow et al, 2011).…”
Section: Introductionmentioning
confidence: 99%