Radiometric calibration of the Sea-viewing Wide-Field-of-View Sensor using ground-reference techniques

Whittington, Emily E.; Thome, Kurtis J.; Barnes, Robert A.; Canham, Kelly

doi:10.1117/12.494227

Cited by 2 publications

(4 citation statements)

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“…The corrections for the EO-1 sensors were based on information from lunar views, the onboard solar diffusers, and vicarious calibrations using the reflectance-based approach. While Railroad Valley data from several dates (including July 16,2001) were used to develop these new coefficients, the cross-comparison approach here is still independent of the earlier results.…”

Section: Resultsmentioning

confidence: 99%

“…The effect due to misregistration is largest in band 7 of ETM+ with a value of 2.0%. The smallest differences are seen with misregistration in the east-west direction, with a larger difference in the north-south direction with regions to the north of the playa area being darker than areas to the south [16].…”

Section: Railroad Valley Test Sitementioning

confidence: 88%

“…The curve fit relies on a multiplicative factor that is altered until the minimum least squares sum of the difference between the ETM+-derived and the band-averaged surface reflectances is found (Fig. 3 shows the results of this approach for July 16,2001).…”

Section: Cross-calibration Approachmentioning

confidence: 99%

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Cross comparison of eo-1 sensors and other earth resources sensors to landsat-7 etm+ using railroad valley playa

Thome

Biggar

Wisniewski

2003

IEEE Trans. Geosci. Remote Sensing

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The Remote Sensing Group at the University of Arizona has used ground-based test sites for the vicarious calibration of airborne and satellite-based sensors, of which the Railroad Valley Playa in north central Nevada has played a key role. This work presents a cross comparison of five satellite-based sensors that all imaged this playa on July 16, 2001. These sensors include the Advanced Land Imager and Hyperion on the Earth Observer-1 platform, the Landsat-7 Enhanced Thematic Mapper Plus (ETM+), Terra's Moderate Resolution Imaging Spectroradiometer, and Space Imaging's Ikonos. The approach atmospherically corrects the ETM+ data to derive surface reflectance for a 1 km 1 km area of the playa and then uses these reflectances to determine a hyperspectral at-sensor radiance for each of the sensors taking into account the changes in solar zenith angle due to any temporal differences in the overpass times as well as differences in the view angles between the sensors. Results show that all of the sensors agree with ETM+ to within 10% in the solar reflective for bands not affected by atmospheric absorption. ETM+, MODIS, and ALI agree in all bands to better than 4.4% with better agreement in the visible and near infrared. Poorer agreement between Hyperion and other sensors appears to be due partially to poorer signal to noise ratio in the narrowband Hyperion datasets.

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Section: Resultsmentioning

confidence: 99%

Section: Railroad Valley Test Sitementioning

confidence: 88%

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Cross comparison of eo-1 sensors and other earth resources sensors to landsat-7 etm+ using railroad valley playa

Thome

Biggar

Wisniewski

2003

IEEE Trans. Geosci. Remote Sensing

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“…The SeaWiFS Project also participates in a radiance-comparison program that uses surface measurements by the Remote Sensing Group of the University of Arizona. Initial results from this program have shown agreement between the two sets of measurements at the 10% level or better, 42 which are within the estimated uncertainties of the surfacebased measurements. For two of the field campaigns, the surface and atmospheric measurements by the Remote Sensing Group provided top-of-theatmosphere radiances at 765 and 865 nm that were 5-10% higher than those from SeaWiFS.…”

Section: Comparisons With Aircraft-and Ground-based Measurementsmentioning

confidence: 55%

Calibration of SeaWiFS I Direct techniques

Barnes¹,

Eplee²,

Schmidt³

et al. 2001

Appl. Opt.

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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 manufacture to the start of on-orbit operations; and measurements of the sun and the moon to determine radiometric changes on orbit. To our knowledge, SeaWiFS is the only instrument that uses routine lunar measurements to determine changes in its radiometric sensitivity. On the basis of these methods, the overall uncertainty in the SeaWiFS top-of-the-atmosphere radiances is estimated to be 4-5%. We also show the results of comparison campaigns with aircraft- and ground-based measurements, plus the results of an experiment, called the Southern Ocean Band 8 Gain Study. These results are used to check the calibration of the SeaWiFS bands. To date, they have not been used to change the instrument's prelaunch calibration coefficients. In addition to these procedures, SeaWiFS is a vicariously calibrated instrument for ocean-color measurements. In the vicarious calibration of the SeaWiFS visible bands, the calibration coefficients are modified to force agreement with surface truth measurements from the Marine Optical Buoy, which is moored off the Hawaiian Island of Lanai. This vicarious calibration is described in a companion paper.

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Radiometric calibration of the Sea-viewing Wide-Field-of-View Sensor using ground-reference techniques

Cited by 2 publications

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Cross comparison of eo-1 sensors and other earth resources sensors to landsat-7 etm+ using railroad valley playa

Cross comparison of eo-1 sensors and other earth resources sensors to landsat-7 etm+ using railroad valley playa

Calibration of SeaWiFS I Direct techniques

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