Uma Plataforma Flexível de Computação de Alto Desempenho para Soluções de Problemas de Sensoriamento Remoto

• Leandro L. Parente UFG
• Roberto U. Paiva UFG
• Claudinei O. Santos UFG
• Evandro C. Taquary UFG
• Laerte G. Ferreira UFG

Abstract

The increasing imaging capacity of the terrestrial surface, through governmental and private satellites, is producing an unprecedented remote sensing data amount. With ever better spatial and temporal resolutions, the transformation of this data into scientifically relevant information demands high-performance computing platforms. The objective of this work is to present a computational infrastructure that enables the practice of High Performance Computing to optimize the solutions of remote sensing problems. To this end, a flexible parallel and distributed computing platform is being implemented and tested in solving problems in this area. In this work we present the results and viability of the platform by running BFAST algorithm, used to detect changes in time series analysis. The results showed that the platform is promising, and can optimize solutions of remote sensing problems at low cost and little programming effort.

Keywords: Imaging, Remote Sensing, Space Resolution, High Performance, BFAST.

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