This paper introduces a framework for tracking sensor performance and comparison. We analyzed two decades of reflectance data from two well-known spectrometers over 20 desert sites, covering about 1300 spectral channels. The results lay the groundwork for cross-calibration of spectrometers by identifying which reference/constrained sensor and investigating the stability of invariant calibration sites.

This paper presents, for the first time, a method for cross-calibration of spectrometers using data from the Global Ozone Monitoring Experiment (GOME) and the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY), which operated concurrently for 10 years. The method addresses key challenges compared with optical imagery calibration and integrates Polarization Monitoring Device data to enhance the accuracy and reliability of the cross-calibration process.