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Earth Observation Data Cubes

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

Salvato in:
Autori principali: Camara, Gilberto, Minchin, Stuart, Killough, Brian, Giuliani, Gregory
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2021
Soggetti:
G1-922
Q1-390
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
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Accesso online:44822
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