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LandCover2RDF: an API for computing the land cover of a geographical area and generating the RDF graph

Dorne, Jordane and Aussenac-Gilles, Nathalie and Comparot, Catherine and Hugues, Romain and Trojahn dos Santos, Cassia LandCover2RDF: an API for computing the land cover of a geographical area and generating the RDF graph. ( In Press: 2020) In: Extended Semantic Web Conference (ESWC 2020), 2 June 2020 - 4 June 2020 (online, France).

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Abstract

Land cover classifications are recognised to be a fundamental source of data to characterise Earth surface and to support change detection analyses. Land cover maps have been produced from different sources as a result of massive time-series image processing. This paper proposes a REST API that allows for computing the percentage of Land Cover classes of a geographic area using such a map. The computed data is then represented as RDF triples based on an ontology dedicated to this kind of data together with their temporal and spatial dimensions. We illustrate the use of the API to study the evolution of Land Cover on a specific geographical area.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02938617
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Thales (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
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Deposited On:01 Sep 2020 09:07

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