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Intercalibration of Polar-Orbiting Spectral Radiometers Without Simultaneous Observations

  • Terhikki Manninen
  • , Aku Riihela
  • , Andrew Heidinger
  • , Crystal Schaaf
  • , Alessio Lattanzio
  • , Jeffrey Key
  • Finnish Meteorological Institute
  • National Oceanic and Atmospheric Administration
  • European Organization for the Exploitation of Meteorological Satellites

Research output: Contribution to journal › Article › peer-review

Abstract

A new intercalibration method for two polar-orbiting satellite instruments or two instrument constellations' Fundamental Climate Data Records (FCDRs) is presented. It is based on statistical fitting of reflectance data from the two instruments covering the same area during the same period, but not simultaneously. A Deming regression with iterative weights is used. The accuracy of the intercalibration method itself was better than 0.5% for the Moderate Resolution Imaging Spectroradiometer (MODIS) versus MODIS and Advanced Very High Resolution Radiometer (AVHRR) versus AVHRR test data sets. The intercalibration of an AVHRR FCDR generated by NOAA versus a combined MODIS Terra and Aqua data set of red and near-infrared (NIR) channels was carried out and showed a difference in the reflectance values of about 2% (red) and 6% (NIR). The presented intercalibration method can be used for checking the calibration of two instruments or FCDRs in all viewing angles used separately.

Original languageEnglish
Pages (from-to)1507-1519
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume56
Issue number3
DOIs
StatePublished - Mar 2018

ASJC Scopus Subject Areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences

Keywords

  • Calibration
  • Remote sensing
  • Statistics

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