Validating MOPITT cloud detection techniques with MAS images

Daniel C. Ziskin; Juying Warner; Paul L. Bailey; John C. Gille

doi:10.1117/12.366404

20 October 1999 Validating MOPITT cloud detection techniques with MAS images

Daniel C. Ziskin, Juying Warner, Paul L. Bailey, John C. Gille

Proceedings Volume 3756, Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research III; (1999) https://doi.org/10.1117/12.366404
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

The Measurements Of Pollution In The Troposphere (MOPITT) experiment will measure the amount of methane and carbon monoxide in the Earth's atmosphere utilizing spectroscopy in the near Infrared (IR) (2.2, 2.3, and 4.7 micrometer). In this wavelength region, clouds confound the retrieval of methane and carbon monoxide by shielding both the surface and atmospheric emission below the clouds from MOPITT. A technique has been developed to detect cloudy pixels, and an algorithm has been developed to estimate clear sky radiance from cloud contaminated pixels. This process is validated using images from the MODIS Airborne Simulator (MAS). MAS images are comprised of 50 m pixels in comparison to the larger 22 km MOPITT pixels. We aggregate the higher resolution MAS data to simulate MOPITT pixels. The aggregation is analyzed for clear and cloudy conditions and a cloud fraction is calculated. The aggregate is then averaged to recreate the scene that MOPITT would have seen. The cloud detection algorithms are applied to the degraded MAS image. The results are compared to validate the techniques imbedded in the standard MOPITT processing stream.

Citation Download Citation

Daniel C. Ziskin, Juying Warner, Paul L. Bailey, and John C. Gille "Validating MOPITT cloud detection techniques with MAS images", Proc. SPIE 3756, Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research III, (20 October 1999); https://doi.org/10.1117/12.366404

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