Sentinel-2 Semantic Data Information Cube Austria

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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.
Original languageEnglish
Title of host publicationProceedings of 2019 Big Data from Space (BiDS'19)
EditorsPierre Soille, Sveinung Loekken, Sergio Albani
PublisherPublications Office of the European Union
Pages65-68
Number of pages4
DOIs
Publication statusPublished - 2019

Publication series

Name
ISSN (Electronic)1831-9424

Keywords

  • Earth observation (EO) images
  • big Earth data
  • semantic querying
  • information cube
  • semantic enrichment
  • content-based image retrieval
  • analysis-readydata
  • remote sensing
  • Sentinel-2
  • machine learning
  • ozone
  • Atmospheric remote sensing
  • FP-ILM
  • Atmospheric Processors

Fields of Science and Technology Classification 2012

  • 105 Geosciences

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