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Semantic Integration of Raster Data for Earth Observation on Territorial Units
2022
ISPRS International Journal of Geo-Information
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.
doi:10.3390/ijgi11020149
fatcat:47qsxhaf6naublqdudyfhpa2ei