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1046 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 45, NO. 4, APRIL 2007 Dual-Satellite Cloud Product Generation Using
 

Summary: 1046 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 45, NO. 4, APRIL 2007
Dual-Satellite Cloud Product Generation Using
Temporally Updated Canonical Coordinate Features
Amanda K. Falcone, Mahmood R. Azimi-Sadjadi, Senior Member, IEEE, and J. Adam Kankiewicz
Abstract--State-of-the-art cloud products are typically gener-
ated using scientific polar orbiting satellites such as the Moderate
Resolution Imaging Spectroradiometer (MODIS). However, they
do not allow for observation of the same region at a regular
temporal frequency, rendering them ineffectual for nowcasting
problems. Operational satellites such as Meteosat-8 SEVIRI, in
contrast, are geostationary and provide continual data at a reg-
ular temporal frequency over a much larger region. MODIS-like
cloud products cannot be directly generated from operational
satellites as they typically have a smaller number of spectral
bands and different wavelengths and spatial resolution. This pa-
per applies the canonical coordinate decomposition method to
estimate scientific cloud products using imagery from operational
satellites. Using the proposed method features of the Meteosat-8
imagery data that are maximally coherent with the data from
the MODIS are generated. These features are temporally up-

  

Source: Azimi-Sadjadi, Mahmood R. - Department of Electrical and Computer Engineering, Colorado State University

 

Collections: Computer Technologies and Information Sciences