Integrated Spatio-temporal Data for Earth Observation: A RDF dataset of Territorial Units with their Land Cover

In this paper, we propose an ontology-based approach that relies on data spatial and temporal dimensions to semantically integrate open datasets together with Earth Observation data. The resulting dataset provides rich contextual information about EO and makes it possible to search EO images according to this contextual information. We illustrate the approach on three French datasets: administrative units, land registries and their land cover dataset. The resulting dataset is a semantic database and it is exposed through a semantic search interface or can be accessed via a SPARQL endpoint.