articleProceedings of the IEEESep 13, 2016Closed access

Big Data for Remote Sensing: Challenges and Opportunities

MCMingmin ChiAPAntonio PlazaJAJón Atli BenediktssonZSZhongyi SunJSJinsheng Shen

State Key Laboratory of Satellite Ocean Environment Dynamics · Fudan University · +3 more institutions

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Abstract

Every day a large number of Earth observation (EO) spaceborne and airborne sensors from many different countries provide a massive amount of remotely sensed data. Those data are used for different applications, such as natural hazard monitoring, global climate change, urban planning, etc. The applications are data driven and mostly interdisciplinary. Based on this it can truly be stated that we are now living in the age of big remote sensing data. Furthermore, these data are becoming an economic asset and a new important resource in many applications. In this paper, we specifically analyze the challenges and opportunities that big data bring in the context of remote sensing applications. Our focus is to…

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6

Topics & keywords

Topics
Keywords
  • Big data
  • Context (archaeology)
  • Computer science
  • Asset (computer security)
  • Data science
  • Remote sensing
  • Earth observation
  • Remote sensing application
UN Sustainable Development Goals
  • Sustainable cities and communities
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