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Proceedings Paper

VIIRS RDR to SDR data processing for ocean color EDR
Author(s): Liqin Tan; Menghua Wang; Junqiang Sun; Lide Jiang
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Paper Abstract

The Visible Infrared Imaging Radiometer Suite (VIIRS) ocean color (OC) Environmental Data Records (EDR) (or Level-2 data) are one of the most important product sets derived from the visible and near-infrared (NIR) moderate resolution (M) bands of VIIRS Sensor Data Records (SDR or Level-1B) data. NOAA Interface Data Processing System (IDPS) only produces the operational SDR from Raw Data Records (RDR or Level-0 data) in the forward mode (no reprocessing). As the ocean color EDR are highly sensitive to the quality of the SDR, while the forward processed SDR by nature have large uncertainty, VIIRS SDR need to be reprocessed from RDR periodically with improved instrument calibration algorithm and look-up tables (LUTs), primarily the F-factors LUTs (F-LUTs), for ocean color EDR. The NOAA VIIRS ocean color team has been building the capability of processing the RDR to SDR efficiently for VIIRS entire mission as well as any selected areas with any selected time periods. In this paper, we describe our effort to develop two approaches in VIIRS RDR to SDR data processing. The first one is to process the raw RDR data into SDR using an internal offline-processing tool, which is based on Joint Polar Satellite System (JPSS) Algorithm Development Library (ADL) with updated calibration LUTs. This tool allows one to select the IDPS/ADL version and input auxiliary/ancillary data for the VIIRS RDR to SDR reprocessing. The second approach, however, is for the case where only the F-LUTs are updated (most cases). We have developed a ratio approach, which is based on the linear relationship between the SDR radiance/reflectance and the F-factors. This approach requires only about one hundredth computational effort compared to the ADL approach and can also significantly reduce the storage requirements. With the ratio approach, the updated SDR are generated from the old SDR and only the bands that are interested are processed.

Paper Details

Date Published: 10 December 2014
PDF: 9 pages
Proc. SPIE 9261, Ocean Remote Sensing and Monitoring from Space, 92611I (10 December 2014); doi: 10.1117/12.2070555
Show Author Affiliations
Liqin Tan, NOAA National Environmental Satellite, Data, and Information Service (United States)
Colorado State Univ. (United States)
Menghua Wang, NOAA National Environmental Satellite, Data, and Information Service (United States)
Junqiang Sun, NOAA National Environmental Satellite, Data, and Information Service (United States)
Global Science & Technology, Inc. (United States)
Lide Jiang, NOAA National Environmental Satellite, Data, and Information Service (United States)
Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 9261:
Ocean Remote Sensing and Monitoring from Space
Robert J. Frouin; Delu Pan; Hiroshi Murakami, Editor(s)

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