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Earth Observation Data Cubes

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Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10

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Keywords

  • Analysis
  • analysis ready data
  • ARD
  • Armenian DC
  • Australia
  • big data
  • big Earth data
  • big EO data
  • Change
  • Climate Change
  • data cube
  • data cubes
  • data curation
  • data discovery
  • data provenance
  • data sharing
  • Digital Earth Australia
  • dual-polarimetric decomposition
  • dynamic data citation
  • earth oberservation
  • earth observation
  • Earth observation data
  • Earth Observations
  • FAIR principles
  • geospatial standards
  • GIS
  • Gran Paradiso National Park
  • graph data
  • GRASS GIS
  • image cube
  • image data cube
  • imagery
  • Information Extraction
  • intelligent semantic agents
  • interferometric coherence
  • interoperability
  • knowledge base
  • land cover classification
  • Landsat
  • map algebra
  • Metadata
  • Open Data Cube
  • Open science
  • optical remote sensing
  • persistent identifier
  • pyroSAR
  • query store
  • R
  • Remote sensing
  • reproducibility
  • SAR
  • Satellite Imagery
  • semantic enrichment
  • Sentinel
  • Sentinel-1
  • Sentinel-2
  • snow cover
  • Subset
  • Sustainable development goals
  • swiss DC
  • synthetic aperture radar
  • time-series
  • topology based map algebra
  • UN 2030 Agenda for Sustainable Development
  • UN System of Environmental Economic Accounting
  • versioning
  • Visualization
  • web application
  • Web services

Links

DOI: 10.3390/books978-3-03928-093-3

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