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RSS FeedsRemote Sensing, Vol. 11, Pages 2187: MODIS Aqua Reflective Solar Band Calibration for NASA`s R2018 Ocean Color Products (Remote Sensing)

 
 

20 september 2019 12:02:40

 
Remote Sensing, Vol. 11, Pages 2187: MODIS Aqua Reflective Solar Band Calibration for NASA`s R2018 Ocean Color Products (Remote Sensing)
 


Remote-sensing ocean color products have stringent requirements on radiometric calibration stability. To address a calibration deficiency in Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua in recent years, the NASA Ocean Biology Processing Group (OBPG) developed a new calibration for reflective solar bands. Prior to the reprocessing of NASA’s ocean color products for 2018 (R2018), the OBPG MODIS products had been based on calibration provided by the MODIS Calibration Support Team (MCST). Several modifications were made to the MCST calibration approach to improve the calibration accuracy for ocean color products. These include 1) applying 936-nm detector normalization to solar diffuser stability monitor (SDSM) data to reduce coherent noise; 2) modeling solar diffuser (SD) degradation wavelength dependency to determine SD degradation in near-infrared and shortwave infrared wavelengths; 3) computing detector gains using SD screen-closed data to better match ocean radiance levels in all bands; 4) performing a simple atmospheric correction to reduce bidirectional reflectance distribution function (BRDF) effects in desert trends; 5) estimating and using modulated relative spectral response (RSR) impact on ocean data to adjust the calibration coefficients; 6) using smoothing to characterize the temporal change in calibration; and characterizing response versus scan angle (RVS) changes using 2nd-order polynomials to improve spatial/temporal calibration stability. Relative to the previous R2014 ocean color products, the R2018 calibration removed the suspect late-mission global trends in blue-band water-leaving reflectance and some anomalously large short-term variability (spikes) in the temporal trend of chlorophyll concentration. This paper will describe the OBPG calibration with a focus on the differences between the MCST and OBPG approaches.


 
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Remote Sensing, Vol. 11, Pages 2188: A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing (Remote Sensing)
Remote Sensing, Vol. 11, Pages 2205: Validation of Portable Mobile Mapping System for Inspection Tasks in Thermal and Fluid-Mechanical Facilities (Remote Sensing)
 
 
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