Corpus ID: 39302779

Big data streaming for remote sensing time series analytics using MapReduce

@inproceedings{Assis2016BigDS,
  title={Big data streaming for remote sensing time series analytics using MapReduce},
  author={L. F. Assis and G. Queiroz and K. Ferreira and L. Vinhas and Eduardo Llapa and A. S{\'a}nchez and Victor Maus and G. C{\^a}mara},
  booktitle={GeoInfo},
  year={2016}
}
  • L. F. Assis, G. Queiroz, +5 authors G. Câmara
  • Published in GeoInfo 2016
  • Computer Science
  • Governmental agencies provide a large and open set of satellite imagery which can be used to track changes in geographic features over time. The current available analysis methods are complex and they are very demanding in terms of computing capabilities. Hence, scientist cannot reproduce analytic results because of lack of computing infrastructure. Therefore, we propose a combination of streaming and map-reduce for time series analysis of time series data. We tested our proposal by applying… CONTINUE READING
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