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A Data Driven Scientific Approach to Environmental Probes

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Dynamic Data-Driven Environmental Systems Science (DyDESS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8964))

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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.

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Author information

Authors and Affiliations

  1. Mathematics Department, School of Energy Resources, University of Wyoming, Laramie, WY, 82071-3036, USA

    Craig C. Douglas

  2. Laboratório Nacional de Computação Científica, Av. Getúlio Vargas, 333 - Quitandinha, Petrópolis, RJ, 25651-075, Brazil

    Tainara Mendes de Andrade Soares & Mauricío Vieira Kritz

Authors
  1. Craig C. Douglas
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  2. Tainara Mendes de Andrade Soares
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  3. Mauricío Vieira Kritz
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Corresponding author

Correspondence to Craig C. Douglas .

Editor information

Editors and Affiliations

  1. Massachusetts Inst. of Technology, Cambridge, Massachusetts, USA

    Sai Ravela

  2. VA Polytechnic Institute and State Univ., Blacksburg, Virginia, USA

    Adrian Sandu

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© 2015 Springer International Publishing Switzerland

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Douglas, C.C., de Andrade Soares, T.M., Kritz, M.V. (2015). A Data Driven Scientific Approach to Environmental Probes. In: Ravela, S., Sandu, A. (eds) Dynamic Data-Driven Environmental Systems Science. DyDESS 2014. Lecture Notes in Computer Science(), vol 8964. Springer, Cham. https://doi.org/10.1007/978-3-319-25138-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-25138-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25137-0

  • Online ISBN: 978-3-319-25138-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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