Cyclone tracking using multiple satellite image sources

Authors:
Anand Panangadan;Shen-Shyang Ho;Ashit Talukder
Affiliations:
California Institute of Technology, Pasadena, CA;California Institute of Technology, Pasadena, CA;California Institute of Technology, Pasadena, CA
Venue:
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Year:
2009

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Abstract

We present an automated cyclone tracking system that uses images from multiple satellite sources. The system tracks cyclones using infrared images from a Geostationary Operational Environmental Satellite (GOES), precipitation images derived from five satellite sources, and ocean surface wind field satellite images. The system consists of three main components: (i) data preprocessing steps for each data source, (ii) cyclone eye detection algorithms for each data source, and (iii) a filter-based tracker that integrates the eye detection results from each data source. Experimental results show that our prototype system is operationally feasible and has better performance than our prior cyclone tracking system.