Earth Science Applications of Sensor Data

  • Anuj Karpatne
  • James Faghmous
  • Jaya Kawale
  • Luke Styles
  • Mace Blank
  • Varun Mithal
  • Xi Chen
  • Ankush Khandelwal
  • Shyam Boriah
  • Karsten Steinhaeuser
  • Michael Steinbach
  • Vipin Kumar
  • Stefan Liess
Chapter

Abstract

Advances in earth observation technologies have led to the acquisition of vast volumes of accurate, timely and reliable environmental data which encompass a multitude of information about the land, ocean and atmosphere of the planet. Earth science sensor datasets capture multiple facets of information about natural processes and human activities that shape the physical landscape and environmental quality of our planet, and thus, offer an opportunity to monitor and understand the diverse phenomena affecting earth’s complex system. The monitoring, analysis and understanding of these rich sensor datasets is thus of prime importance for the efficient planning and management of critical resources, since the societal costs of mitigation or adaptation decisions for natural or human-induced adverse events are significant. Hence, a thorough understanding of earth science sensor datasets has a direct impact on a range of societally relevant issues. Moreover, earth science sensor datasets possess unique domain-specific properties that distinguish them from sensor datasets used in other domains, and thus demand the need for novel tools and techniques to be developed for their analysis, adhering to their characteristic issues and challenges.

Keywords

Remote Sensing Earth Science Data Mining 

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Anuj Karpatne
    • 1
  • James Faghmous
    • 1
  • Jaya Kawale
    • 1
  • Luke Styles
    • 1
  • Mace Blank
    • 1
  • Varun Mithal
    • 1
  • Xi Chen
    • 1
  • Ankush Khandelwal
    • 1
  • Shyam Boriah
    • 1
  • Karsten Steinhaeuser
    • 1
  • Michael Steinbach
    • 1
  • Vipin Kumar
    • 1
  • Stefan Liess
    • 2
  1. 1.Department of Computer Science and EngineeringUniversity of MinnesotaMinnesotaUSA
  2. 2.Department of Soil, Water and ClimateUniversity of MinnesotaMinnesotaUSA

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