Low degradation Spectralon selection

Murgai, Vijay; Klein, Staci N.; Arnold, Will; Durell, Chris; Bowers, S.; Russell, Brandon; Butler, James J.; Xiong, Xiaoxong

doi:10.1117/12.2568774

Cited by 2 publications

(4 citation statements)

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“…As the remaining two panels were not sufficiently flat, an additional set of four panels (batch 2) was ordered from Labsphere with modifications in the shipping container so that the panels were stored / held horizontal rather than vertical. Of the four additional panels purchased for JPSS-2, JPSS-3, and JPSS-4, three of the panels showed excessive degradation due to UV exposure as discussed in Reference [19]. This led to development of new specification and analysis methods that allowed Labsphere to have a good indication of contamination based on pre and post bake reflectance data prior to any UV exposure.…”

Section: Jpss Panel and Witness Samplesmentioning

confidence: 99%

“…This led to development of new specification and analysis methods that allowed Labsphere to have a good indication of contamination based on pre and post bake reflectance data prior to any UV exposure. The methods developed were used for the purchase of Spectralon ® panels for JPSS-3 and JPSS-4 (batch 3) [19] while panel K from batch 2 was used for JPSS-2.…”

Section: Jpss Panel and Witness Samplesmentioning

confidence: 99%

“…Radiometric measurements frequently compare a known and unknown source by measuring the signal reflected from a standard. Examples of this include sensors such as VIIRS, Landsat, MODIS, MERIS, MISR, IKONOS, and Hyperion [1][2][3][4] [5][6] [7] which use the sun's reflection from a Lambertian surface (such as Spectralon ® ) to calibrate the sensor in the reflective bands (400 -2500 nm). Other instances involve calibrating light sources relative to a known standard light source by reflection off a Lambertian surface.…”

Section: Introductionmentioning

confidence: 99%

“…Panels with degradation lower than a specified value were used while other panels rejected. Previous work has shown how to specify and select Spectralon ® panels with the least degradation prior to UV exposure testing [19]. So as to have a better indication of Spectralon ® panel change with solar UV exposure, the contamination just prior to launch, reflectance change due to UV exposure of witness samples that accompanied VIIRS through build test and integration for JPSS-2 is shown.…”

Section: Introductionmentioning

confidence: 99%

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JPSS J2 Spectralon performance pre-launch

Murgai,

Butler,

Xiong

2023

Earth Observing Systems XXVIII

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Spectralon® is a high reflectance excellent diffuser used to reflect sunlight for use as a calibrator for on-orbit and ground instruments. Radiometric calibration of the reflective bands in the 0.4 to 2.5m wavelength range is performed by measuring the sunlight reflected from Spectralon®. Reflected sunlight is directly proportional to the Bidirectional Reflectance Distribution Function (BRDF) of the Spectralon®. On-orbit exposure to sunlight results in solarization due to solar UV and the presence of residual contamination. Spectralon® quality is checked at start of build by measuring the change in reflectance on exposing a witness sample to 100 hours Solar UV as an indication of on orbit performance. For JPSS J2, the witness samples accompanied the sensor till 30 days before launch. Measuring the reflectance change on exposure to Solar UV of the witness samples accompanying the sensor through build and test is a better indication of on orbit performance as this includes any additional contamination during the build and test phase.

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Section: Jpss Panel and Witness Samplesmentioning

confidence: 99%

Section: Jpss Panel and Witness Samplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

JPSS J2 Spectralon performance pre-launch

Murgai,

Butler,

Xiong

2023

Earth Observing Systems XXVIII

Self Cite

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Calculation algorithm for spectral irradiance using broad-band optical filter data

Liu,

Zhao,

Chen

et al. 2024

Intell. Mar. Technol. Syst.

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A disposable miniature radiometer has been developed using optical filters for spectral separation. Limitations in accurately retrieving irradiance from the broad-band measurement results can be attributed to the broad-band filters. This paper proposes an algorithm for spectral irradiance using broad-band optical filter data (SIBOF algorithm) to achieve precise retrieved irradiance through four correction steps. First, the algorithm uses an energy ratio method to adjust the broad-band data to narrow-band data. The energy ratio is derived from the reference lamp spectrum and measured optical filter transmissivities. Second, the algorithm corrects for filter transmissivity differences by multiplying the normalized spectral transmissivities by calibration coefficients. The third step involves polarization correction, compensating for additional transmissivity caused by polarization effects from the film overlying on the cosine collector, thus eliminating errors due to film polarization. The fourth step involves radiative heating correction, where fitting curves and coefficients are used to analyze the relationship between irradiance deviation and actual irradiance to correct the data. Standardized tests indicate that, after applying the four corrections, the results are highly consistent with the irradiance from the reference radiometer, demonstrating that these correction steps constitute a reliable algorithm for spectral irradiance using broad-band optical filter data. In April 2024, a 20-day sea fog sounding observation was conducted at the Qianliyan Ocean Station. The irradiance data from the miniature radiometers before launch were corrected and compared with those measured by the reference radiometer on the ground. Results indicate that the irradiance retrieved through the algorithm was in good agreement with the measurements from the reference radiometer, validating its performance across various weather conditions.

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Low degradation Spectralon selection

Cited by 2 publications

References 0 publications

JPSS J2 Spectralon performance pre-launch

JPSS J2 Spectralon performance pre-launch

Calculation algorithm for spectral irradiance using broad-band optical filter data

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