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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
- Geography
- 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/books978-3-03928-093-3Editions
