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SPARC: New Cloud, Snow, and Cloud Shadow Detection Scheme for Historical 1-km AVHHR Data over Canada

Dates

Year
2007

Citation

Khlopenkov, K. V., and Trishchenko, A. P., 2007, SPARC: New Cloud, Snow, and Cloud Shadow Detection Scheme for Historical 1-km AVHHR Data over Canada: Journal of Atmospheric and Oceanic Technology, v. 24, no. 3, p. 322-343.

Summary

The identification of clear-sky and cloudy pixels is a key step in the processing of satellite observations. This is equally important for surface and cloud-atmosphere applications. In this paper, the Separation of Pixels Using Aggregated Rating over Canada (SPARC) algorithm is presented, a new method of pixel identification for image data from the Advanced Very High Resolution Radiometer (AVHRR) on board the NOAA satellites. The SPARC algorithm separates image pixels into clear-sky and cloudy categories based on a specially designed rating scheme. A mask depicting snow/ice and cloud shadows is also generated. The SPARC algorithm has been designed to work year-round (day and night) over the temperate and polar regions of North America, [...]

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  • LC MAP - Landscape Conservation Management and Analysis Portal
  • Northwest Boreal Landscape Conservation Cooperative

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Reference Item
NWBLCC20160627

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.1175/JTECH1987.1
ISSN http://sciencebase.gov/vocab/identifierScheme 0739-0572, 0739-0572

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