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A Data Driven Scientific Approach to Environmental Probes

  • Craig C. DouglasEmail author
  • Tainara Mendes de Andrade Soares
  • Mauricío Vieira Kritz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8964)

Abstract

The development of an Environmental Science is strongly connected with the long term observation of wild environmental systems, which are usually situated far from immediate reach. Environmental systems have as basic elements ecosystems that are difficult to delineate since their boundaries and dynamical regime change over time. This paper discusses the concept of environmental probes and their use in inaccessible regions, e.g., remote sites in the Amazon forest. The focus is on their ability to track environmental systems for long periods and produce useful scientific data. A dynamic data scientific approach is essential to our concept due to (a) the remote location of sensors and the many years span of observation processes, (b) the necessary dynamical creation and adaptation of environmental models to uncover environmental features, and (c) the partial substitution of human abilities concerning maintenance and the identification of novelties.

Keywords

Environmental System Environmental Probe Interaction Channel Environmental Phenomenon Computational Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Craig C. Douglas
    • 1
    Email author
  • Tainara Mendes de Andrade Soares
    • 2
  • Mauricío Vieira Kritz
    • 2
  1. 1.Mathematics Department, School of Energy ResourcesUniversity of WyomingLaramieUSA
  2. 2.Laboratório Nacional de Computação CientíficaPetrópolisBrazil

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