Abstract

Long-term data records obtained from Earth observing sensors depend not only on the calibration accuracy of individual sensors but also on the consistency across instruments and platforms. Hence, sensor calibration intercomparison plays a vital role for a better understanding of various science products. The Moderate Resolution Imaging Spectroradiometer (MODIS) and enhanced thematic mapper plus (ETM+) on the Terra and Landsat 7 platforms have operated successfully since their launch, collecting measurements in the reflective solar and infrared parts of the spectrum. Terra MODIS has employed a reflectance-based calibration since beginning its mission. In the case of ETM+, a radiance-based calibration was employed until recent years, when a reflectance-based calibration was introduced. Being in the AM constellation with less than 30 min difference in overpass times, near-simultaneous Earth scene measurements can be effectively used to assess the calibration differences between the spectrally matching bands of these two instruments. The pseudoinvariant calibration sites (PICS) in the North African desert are widely used for on-orbit calibration and validation of satellite sensors. Four PICS from this region have been employed to assess the multitemporal reflectance differences. Correction for bidirectional reflectance, spectral response function mismatch, and impacts of atmospheric water-vapor have been incorporated to provide an assessment of the long-term stability of each spectral band and reflectance differences amongst them. Results indicate that the spectral bands of both instruments show a long-term stability to within 2% from 2000 to 2017. The top-of-atmosphere reflectances between the two instruments postcorrection agree to within 4%. Also included in this paper is a detailed discussion of various parameters contributing to the uncertainties of this cross-calibration. The techniques presented in this paper can be further extended to perform similar intercomparison between Landsat 8 Operational Land Imager, Aqua MODIS, and Suomi-NPP VIIRS.

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