Technology and Methodology |
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CLOUD DETECTION IN MODIS DATA BASED ON MULTI-SPECTRUM SYNTHESIS |
HE Quan-Jun, CAO Jing, HUANG Jiang, WU Zhi-Jun |
Guangzhou Meteorological Satellite Ground Station, Guangzhou 510640, China |
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Abstract Cloud detection is absolutely necessary in the processing of satellite remote sensing data. Through
analyzing meteoric characteristics of cloud in different spectra and integrating the spectral characteristics of
MODIS (Moderate Resolution Imaging Spectroradiometer), the authors put forward a new cloud detection method based on
multi-spectrum synthesis. Taking into account such factors as visible reflectance, infrared brightness temperature
and window brightness temperature difference, the algorithm can gradually build a cloud detection mask and finally
obtain an entire cloud processing result which can discriminate cloud from clear sky. The algorithm was applied in
different periods and different scenes to make validation and analysis. The results show that the cloud detection is
ideal, especially for thin cirrus which is invisible in the visible band. This technique can promote the use of
MODIS data and improve the accuracy of retrieving.
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Issue Date: 23 July 2009
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