Thin cirrus detection and correction of thin cirrus path radiances using near-IR channels near 1.375-um

Bo-Cai Gao; Curtiss O. Davis; Yoram J. Kaufman

doi:10.1117/12.292692

23 October 1997 Thin cirrus detection and correction of thin cirrus path radiances using near-IR channels near 1.375-um

Bo-Cai Gao, Curtiss O. Davis, Yoram J. Kaufman

Proceedings Volume 3122, Infrared Spaceborne Remote Sensing V; (1997) https://doi.org/10.1117/12.292692
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Through analysis of spectral imaging data acquired with the airborne visible infrared imaging spectrometer (AVIRIS) from an ER-2 aircraft at 20 km altitude, it was found that narrow channels near the center of the strong 1.38 micrometer water vapor band are very sensitive in detecting thin cirrus clouds over different geographical regions. Based on this observation from AVIRIS data a channel centered at 1.375 micrometer with a width of 30 nm was selected for the moderate resolution imaging spectrometer (MODIS) for remote sensing of cirrus clouds from space. The sensitivity of this channel to detect thin cirrus clouds during the day time is expected to be one or two orders of magnitude better than the current infrared emission techniques. As a result, much larger fraction of the satellite data is expected to be identified as being covered by cirrus clouds. In order to make better studies of surface reflectance properties, thin cirrus effects must be removed from satellite images. We have developed an empirical algorithm for removing/correcting thin cirrus effects in the 0.4 - 1.0 micrometer region using channels near 1.375 micrometer. This algorithm will be incorporated into the present MODIS atmospheric correction algorithms for ocean color and land applications.

Citation Download Citation

Bo-Cai Gao, Curtiss O. Davis, and Yoram J. Kaufman "Thin cirrus detection and correction of thin cirrus path radiances using near-IR channels near 1.375-um", Proc. SPIE 3122, Infrared Spaceborne Remote Sensing V, (23 October 1997); https://doi.org/10.1117/12.292692

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