Study of the model of calibrating differences of brightness temperature from geostationary satellite generated by time zone differences

Weidong Li; Xinjian Shan; Chunyan Qu

doi:10.1117/12.872972

3 November 2010 Study of the model of calibrating differences of brightness temperature from geostationary satellite generated by time zone differences

Weidong Li, Xinjian Shan, Chunyan Qu

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Proceedings Volume 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality; 784025 (2010) https://doi.org/10.1117/12.872972
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

In comparison with polar-orbiting satellites, geostationary satellites have a higher time resolution and wider field of visions, which can cover eleven time zones (an image covers about one third of the Earth's surface). For a geostationary satellite panorama graph at a point of time, the brightness temperature of different zones is unable to represent the thermal radiation information of the surface at the same point of time because of the effect of different sun solar radiation. So it is necessary to calibrate brightness temperature of different zones with respect to the same point of time. A model of calibrating the differences of the brightness temperature of geostationary satellite generated by time zone differences is suggested in this study. A total of 16 curves of four positions in four different stages are given through sample statistics of brightness temperature of every 5 days synthetic data which are from four different time zones (time zones 4, 6, 8, and 9). The above four stages span January -March (winter), April-June (spring), July-September (summer), and October-December (autumn). Three kinds of correct situations and correct formulas based on curves changes are able to better eliminate brightness temperature rising or dropping caused by time zone differences.

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Weidong Li, Xinjian Shan, and Chunyan Qu "Study of the model of calibrating differences of brightness temperature from geostationary satellite generated by time zone differences", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 784025 (3 November 2010); https://doi.org/10.1117/12.872972

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KEYWORDS

Satellites

Calibration

Satellite imaging

Solar radiation models

Solar radiation

Panoramic photography

Data modeling

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