David A. Bader
IEEE Fellow
AAAS Fellow
Professor
College of Computing
Georgia Tech
Atlanta, GA 30332


 
 

 

A Hierarchical Data Archiving and Processing System to Generate Custom Tailored Products from AVHRR Data

A novel indexing scheme is described here to catalogue satellite data on a pixel basis. The objective of this research is to develop an efficient methodology to archive, retrieve and process satellite data, so that the data products can be generated to meet the specific needs of individual scientists. When requesting data, users can specify the spatial and temporal resolution, geographic projection, choice of atmospheric correction, and the data selection methodology. The data processing is done in two stages. Satallite data is calibrated, navigated and quality flags are appended in the initial processing. This processed data is then indexed and stored. Secondary processing such as atmostpheric correction and projection are done after a user requests the data to create custom made products. By dividing the processing into two stages saves times, since the basic processings tasks such as navigation and calibration which are common to all requests are not repeated when different users request satellite data. The indexing scheme described here can be extended to allow fusion of data sets from different sensors.

Publication History

Versions of this paper appeared as:
  1. S.N.V. Kalluri, Z. Zhang, J. JáJá , D.A. Bader, H. Song, N. El Saleous, E. Vermote, and J.R.G. Townshend. `` A Hierarchical Data Archiving and Processing System to Generate Custom Tailored Products from AVHRR Data,'' IEEE 1999 International Geoscience and Remote Sensing Symposium (IGARSS'99), Hamburg, Germany, pp. 2374-2376, Vol. 5, June/July 1999.

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Last updated: July 25, 2004

 




Computational Biology



Parallel Computing



Combinatorics