Paper
8 September 2015 Impacts of VIIRS polarization sensitivity on non-ocean scenes
Timothy S. Wilkinson
Author Affiliations +
Abstract
The Visible and Infrared Imaging Radiometer Suite (VIIRS) collects Earth science data continually in a sun-synchronous orbit. VIIRS raw data records (RDRs) are processed by ground software to generate a variety of environmental data records (EDRs). Over open ocean, ground software produces measurements of chlorophyll concentration based on subsurface reflectance estimates. Considering that about 90% of the top of the atmosphere (TOA) radiance reaching a sensor over open ocean can be attributed to atmosphere or surface reflectance, it is possible to introduce large chlorophyll estimate errors by ignoring ordinarily small contributions due to polarization sensitivity. For chlorophyll determination, instrument polarization sensitivity measurements are used in combination with atmospheric models to compensate for polarization phenomenon. VIIRS ground software does not compensate for polarization phenomenon when processing land scenes. It is therefore natural to consider the impacts of ignoring VIIRS polarization phenomenon for land surface reflectance estimates. In this work, pre-flight polarization sensitivity characterization data is used in conjunction with a polarized atmospheric propagation model to analyze potential impacts on retrieved TOA reflectance. Impacts are analyzed across several collection conditions, including ground surface type, atmospheric visibility, general atmospheric profile and collection geometry. Actual pre-flight characterization data is used for both NPP and J1 VIIRS.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy S. Wilkinson "Impacts of VIIRS polarization sensitivity on non-ocean scenes", Proc. SPIE 9607, Earth Observing Systems XX, 960714 (8 September 2015); https://doi.org/10.1117/12.2188636
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Polarization

Sensors

Reflectivity

Atmospheric particles

Error analysis

Aerosols

Visibility

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