Abstract
Pseudo invariant calibration sites (PICS) have been extensively used for the radiometric calibration and temporal stability monitoring of optical satellite sensors. Due to limited knowledge about the radiometric stability of North Africa, only a limited number of sites in the region are used for this purpose. This work presents an automated approach to classify North Africa for its potential use as an extended PICS (EPICS) covering vast portions of the continent. An unsupervised classification algorithm identified 19 “clusters” representing distinct land surface types was used; three clusters were identified with spatial uncertainties within approximately 5% in the shorter wavelength bands and 3% in the longer wavelength bands. A key advantage of the cluster approach is that large numbers of pixels are aggregated into contiguous homogeneous regions sufficiently distributed across the continent to allow multiple imaging opportunities per day, as opposed to imaging a typical PICS once during the sensor’s revisit period. This potential increase in temporal resolution could result in increased sensitivity for the quicker identification of changes in sensor response.
Highlights
For over 45 years, data from Earth observing satellite sensors have been used to increase the understanding of long-term global change
Sensors often include onboard calibrators intended to provide data for radiometric calibration and long-term stability monitoring
Teillet et al [3,4] provided a comprehensive list of Pseudo invariant calibration sites (PICS) suitable for post launch radiometric calibration, sensor cross calibration, and long-term stability monitoring
Summary
For over 45 years, data from Earth observing satellite sensors have been used to increase the understanding of long-term global change. Sensors often include onboard calibrators (e.g., solar diffuser panels, lamps, thermal blackbody radiators) intended to provide data for radiometric calibration and long-term stability monitoring. Since an onboard calibrator experiences conditions similar to the sensor, its data will likely show similar degradation in radiometric response. Teillet et al [3,4] provided a comprehensive list of PICS suitable for post launch radiometric calibration, sensor cross calibration, and long-term stability monitoring. Some of these sites have since been endorsed by the Committee on Earth Observing Sensors (CEOS)
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