Earth Observation Data Cubes
Material type:
ArticleLanguage: English Publication details: MDPI - Multidisciplinary Digital Publishing Institute 2020Description: 1 electronic resource (302 p.)ISBN: - books978-3-03928-093-3
- 9783039280926
- 9783039280933
- knowledge base
- metadata
- Synthetic Aperture Radar
- versioning
- web services
- web application
- sustainable development goals
- earth observations
- FAIR principles
- land cover classification
- semantic enrichment
- satellite imagery
- imagery
- analysis
- information extraction
- ARD
- analysis ready data
- swiss DC
- data cube
- Open Data Cube
- UN 2030 Agenda for Sustainable Development
- time-series
- graph data
- Digital Earth Australia
- query store
- open data cube
- pyroSAR
- R
- earth oberservation
- image cube
- sentinel
- open science
- Sentinel
- reproducibility
- change
- big EO data
- earth observation
- big Earth data
- Earth Observations
- Australia
- geospatial standards
- big earth data
- visualization
- UN System of Environmental Economic Accounting
- interferometric coherence
- dynamic data citation
- intelligent semantic agents
- data curation
- snow cover
- big data
- Analysis Ready Data
- climate change
- topology based map algebra
- data provenance
- Sentinel-1
- Sentinel-2
- remote sensing
- interoperability
- image data cube
- optical remote sensing
- dual-polarimetric decomposition
- GIS
- Gran Paradiso National Park
- data sharing
- SAR
- map algebra
- Earth observation
- Armenian DC
- data cubes
- Data Cube
- data discovery
- Earth observation data
- persistent identifier
- Landsat
- GRASS GIS
- subset
- landsat
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Electronic-Books
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
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
Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/ cc https://creativecommons.org/licenses/by-nc-nd/4.0/
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