Sentinel-2 Semantic Data Information Cube Austria

Publikation: Beitrag in Buch/Bericht/Konferenzband/GesetzeskommentarKonferenzbeitragPeer-reviewed

Abstract

Data cubes seem to be a promising methodological development to deal with the big EO data challenge. The Sentinel-2 Semantic Data Cube Austria (Sen2Cube.at) goes beyond the current state-of-the-art and aims to build an Austrian data & information cube. The main goal is to show that semantic content-based image and information retrieval is possible in big EO image databases, allowing users to query and analyse EO data on a higher semantic level (i.e. based on at least basic land cover units and encoded ontologies). This includes: (1) fully automatic semantic enrichment of Sentinel-2 images up to land cover types ready for semantic content-based analysis; (2) the use of suitable database technologies to develop spatio-temporal modelling and querying techniques using encoded ontologies to decrease the complexity of queries for user interaction; (3) a Web interface for human-like queries based on semantic models of the spatio-temporal 4D physical-world domain; and (4) the demonstration of the potential of the generic data & information cube in future service developments based on different service types.
OriginalspracheEnglisch
TitelProceedings of 2019 Big Data from Space (BiDS'19)
Redakteure/-innenPierre Soille, Sveinung Loekken, Sergio Albani
Herausgeber (Verlag)Publications Office of the European Union
Seiten65-68
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 2019

Publikationsreihe

Name
ISSN (elektronisch)1831-9424

Schlagwörter

  • Remote sensing
  • Big EO data
  • data cube

Systematik der Wissenschaftszweige 2012

  • 105 Geowissenschaften

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