Semantic Integration of Raster Data for Earth Observation on Territorial Units - IRIT - Centre National de la Recherche Scientifique Accéder directement au contenu
Article Dans Une Revue ISPRS International Journal of Geo-Information Année : 2022

Semantic Integration of Raster Data for Earth Observation on Territorial Units

Résumé

Semantic technologies have proven their relevance in facilitating the interpretation of Earth Observation (EO) data through formats such as RDF and reusable models, especially for the representation of space and time. While rasters are the usual data format for the results of image processing algorithms, a recurrent problem is transferring the pixel values of these rasters into features that make sense of the areas of interest on the Earth, thus facilitating the interpretation of their content. This paper addresses this issue through a semantic data integration process based on spatial and temporal properties. We propose (i) a modular and generic semantic model for the homogeneous representation of data qualifying a geographical area of interest thanks to territorial units (land parcels, administrative units, forest areas, etc.) that we define as divisions of a larger territory according to a criteria in relation with human activities; and (ii) a semantic extraction, transformation and load (ETL) process that builds on the model and the data extracted from rasters and that maps aggregated data to the corresponding unit areas. We evaluate our approach in terms of the (i) adaptability of the proposed model and pipeline to accommodate different use cases (vineyard and urban expansion monitoring), (ii) added value of the generated datasets to assist in decision making, and (iii) scalability of the approach.
Fichier principal
Vignette du fichier
ijgi-11-00149-v2.pdf (3.64 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03588537 , version 1 (25-02-2022)

Licence

Paternité

Identifiants

Citer

Ba-Huy Tran, Nathalie Aussenac-Gilles, Catherine Comparot, Cassia Trojahn, Ba-Huy Tran. Semantic Integration of Raster Data for Earth Observation on Territorial Units. ISPRS International Journal of Geo-Information, 2022, 11 (2), pp.149. ⟨10.3390/ijgi11020149⟩. ⟨hal-03588537⟩
159 Consultations
54 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More