Landsat 8 Remote Sensing Reflectance (R-Rs) Products: Evaluations, Intercomparisons, And Enhancements

Details

• Journal Title:
  Remote Sensing of Environment
• Personal Author:
  Pahlevan, Nima ; Schott, John R. ; Franz, Bryan A. ; Zibordi, Giuseppe ; Markham, Brian ; Bailey, Sean ; Schaaf, Crystal B. ; Ondrusek, Michael ; Greb, Steven ; Strait, Christopher M.
• NOAA Program & Office:
  NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; Sea Grant
• Sea Grant Program:
  MIT (MIT Sea Grant)
• Description:
  The Operational Land Imager (OLI) onboard Landsat-8 is generating high-quality aquatic science products, the most critical of which is the remote sensing reflectance (Rrs), defined as the ratio of water-leaving radiance to the total downwelling irradiance just above water. The quality of the Rrs products has not, however, been extensively assessed. This manuscript provides a comprehensive evaluation of Level-1B, i.e., top of atmosphere reflectance, and Rrs products available from OLI imagery under near-ideal atmospheric conditions in moderately turbid waters. The procedure includes a) evaluations of the Rrs products at sites included in the Ocean Color component of the Aerosol Robotic Network (AERONET-OC), b) intercomparisons and cross-calibrations against other ocean color products, and c) optimizations of vicarious calibration gains across the entire OLI observing swath. Results indicate that the near-infrared and shortwave infrared (NIR-SWIR) band combinations yield the most robust and stable Rrs retrievals in moderately turbid waters. Intercomparisons against products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) and the Moderate Resolution Imaging Spectroradiometer onboard the Aqua platform (MODISA) indicate slight across-track non-uniformities (< 1%) associated with OLI scenes in the blue bands. In both product domains (TOA and Rrs), on average, the OLI products were found larger in radiometric responses in the blue channels. Following the implementation of updated vicarious calibration gains and accounting for across-track non-uniformities, matchup analyses using independent in-situ validation data confirmed improvements in Rrs products. These findings further support high-fidelity OLI-derived aquatic science products in terms of both demonstrating a robust atmospheric correction method and providing consistent products across OLI's imaging swath.
• Keywords:
  Ocean Color Remote-sensing Images Remote Sensing Ocean Color Remote-sensing Images Remote Sensing
• Source:
  Remote Sensing of Environment 190: 289-301
• DOI:
  https://doi.org/10.1016/j.rse.2016.12.030
• Document Type:
  Journal Article
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:7ef3f34c51fcc47dcb5428d19d2901ab56ef273988b7bb7ef3e4ee1e1d1f3985
• Download URL:
  https://repository.library.noaa.gov/view/noaa/43964/noaa_43964_DS1.pdf
• File Type:
  [PDF - 2.33 MB ]