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Radiometer-to-imager in-flight cross calibration and verification
Optics Express
|May 15, 2020
Summary
This study introduces a novel in-flight cross-calibration method for aircraft-based radiometers and imagers. This technique enhances measurement accuracy for remote sensing of atmospheric particles.
Area of Science:
- Remote Sensing
- Atmospheric Science
- Optical Instrumentation
Background:
- Accurate calibration of remote sensing instruments is crucial for reliable atmospheric and Earth surface monitoring.
- Existing calibration methods can be time-consuming and dependent on surface conditions.
- Cross-calibration between different sensor types, like radiometers and imagers, presents unique challenges.
Purpose of the Study:
- To develop and validate a method for in-flight cross-calibration between a radiometer (POSP) and an imager (SIPC) on the same aircraft.
- To improve the measurement accuracy of the imaging polarization camera (SIPC) by transferring calibration coefficients from the particulate observing scanning polarimeter (POSP).
- To enable high-precision, large-spatial-coverage remote sensing of atmospheric fine particles.
Main Methods:
- Developed a data transmission method using time, space, and spectral matching between the POSP and SIPC.
- Formulated polarization models for both instruments using Mueller matrixes.
- Deduced an in-flight cross-calibration model specific to the POSP-SIPC system.
- Conducted in-flight experiments to validate the cross-calibration model.
Main Results:
- Successfully established an in-flight cross-calibration method applicable regardless of surface type, reducing calibration cycles.
- Transferred high-precision calibration coefficients from the POSP to the SIPC.
- Demonstrated the ability to minimize SIPC polarization degree errors, achieving a bias of approximately 0.01 relative to POSP over land.
Conclusions:
- The developed radiometer-to-imager in-flight cross-calibration method is effective for improving imager accuracy.
- This technique facilitates high-precision remote sensing of atmospheric fine particles over large areas.
- The method offers a robust and efficient approach to instrument calibration in airborne remote sensing applications.
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