Big Data Analytics on combining RADAR and optical remote sensing imagery

Authors

  • A. Mirt Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands
  • J. Reiche Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands
  • M. Herold Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands
  • J. Verbesselt Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, 6708PB Wageningen, the Netherlands

DOI:

https://doi.org/10.18174/FAIRdata2018.16280

Abstract

Remote sensing data is big, which makes it inherently not FAIR, due to the great burden put on the users, for the data to be truly Accessible. In turn, this makes it unfeasible to process data to an Interoperable form. The ESA’s Copernicus program raised the bar for quality data in earth observation satellite sensors ...

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Published

2018-12-11

Issue

Session D: Computer vision in environmental science. Chair: Prof. Dr. Devis Tuia

Section

Sessions