An Approach for Integrating Earth Observation, Change Detection and Contextual Data for Semantic Search

Abstract

This paper presents an integration process of open data and Earth Observation (EO) data for supporting EO semantic search. This process relies on an ontology that describes spatial and temporal dimensions of data. The resulting dataset provides rich contextual information about EO and makes possible the search of EO data according to this contextual information through a semantic search interface. The approach is illustrated on the integration of different datasets: change detection, administrative unit, land register and land cover.