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

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Bibliographic Details
Main Author: Camara, Gilberto (auth)
Other Authors: Minchin, Stuart (auth), Killough, Brian (auth), Giuliani, Gregory (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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653 |a swiss DC 
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653 |a Open Data Cube 
653 |a UN 2030 Agenda for Sustainable Development 
653 |a time-series 
653 |a graph data 
653 |a Digital Earth Australia 
653 |a query store 
653 |a open data cube 
653 |a pyroSAR 
653 |a R 
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653 |a image cube 
653 |a sentinel 
653 |a open science 
653 |a Sentinel 
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653 |a climate change 
653 |a topology based map algebra 
653 |a data provenance 
653 |a Sentinel-1 
653 |a Sentinel-2 
653 |a remote sensing 
653 |a interoperability 
653 |a image data cube 
653 |a optical remote sensing 
653 |a dual-polarimetric decomposition 
653 |a GIS 
653 |a Gran Paradiso National Park 
653 |a data sharing 
653 |a SAR 
653 |a map algebra 
653 |a Earth observation 
653 |a Armenian DC 
653 |a data cubes 
653 |a Data Cube 
653 |a data discovery 
653 |a Earth observation data 
653 |a persistent identifier 
653 |a Landsat 
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653 |a subset 
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