Assessment of the Suomi NPP VIIRS Land Surface Albedo Data Using Station Measurements and High -Resolution Albedo Maps

Details

• Journal Title:
  Remote Sensing
• Personal Author:
  Zhou, Yuan ; Wang, Dongdong ; Liang, Shunlin ; Yu, Yunyue ; He, Tao
• NOAA Program & Office:
  NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; JPSS (Joint Polar Satellite System Program Office)
• Description:
  Land surface albedo (LSA), one of the Visible Infrared Imaging Radiometer Suite (VIIRS) environmental data records (EDRs), is a fundamental component for linking the land surface and the climate system by regulating shortwave energy exchange between the land and the atmosphere. Currently, the improved bright pixel sub-algorithm (BPSA) is a unique algorithm employed by VIIRS to routinely generate LSA EDR from VIIRS top-of-atmosphere (TOA) observations. As a product validation procedure, LSA EDR reached validated (V1 stage) maturity in December 2014. This study summarizes recent progress in algorithm refinement, and presents comprehensive validation and evaluation results of VIIRS LSA by using extensive field measurements, Moderate Resolution Imaging Spectroradiometer (MODIS) albedo product, and Landsat-retrieved albedo maps.
• Keywords:
  • Albedo
  • Suomi NPP
  • VIIRS
  • Landsat
  • Accuracy assessment
• Source:
  Remote Sens. 2016, 8(2), 137
• DOI:
  https://doi.org/10.3390/rs8020137
• Document Type:
  Journal Article
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/41045/noaa_41045_DS1.pdf
• File Type:
  [PDF - 2.57 MB]
• Collection(s):
  National Environmental Satellite and Data Information Service (NESDIS)
• Main Document Checksum:
  urn:sha256:e0613d756328df176b1f2dca27b2c06fe6caf1bd15fca94bdc5bd70f2441d54b