Earth Observation Data Cubes
Camara, Gilberto
Earth Observation Data Cubes - MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (302 p.)
Open 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
English
books978-3-03928-093-3 9783039280926 9783039280933
10.3390/books978-3-03928-093-3 doi
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
Earth Observation Data Cubes - MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (302 p.)
Open 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
English
books978-3-03928-093-3 9783039280926 9783039280933
10.3390/books978-3-03928-093-3 doi
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