Pierkot Christelle auteur aut IRD Andrés S. auteur aut IRD Faure Jean-François auteur aut IRD Seyler Frédérique auteur aut IRD text journalArticle eng text/pdf reformatted digital access Technological tools allow the generation of large volumes of data. For example satellite images aid in the study of spatiotemporal phenomena in a range of disciplines, such as urban planning, environmental sciences, and health care. Thus, remote-sensing experts must handle various and complex image sets for their interpretations. The GIS community has undertaken significant work in describing spatiotemporal features, and standard specifications nowadays provide design foundations for GIS software and spatial databases. We argue that this spatiotemporal knowledge and expertise would provide invaluable support for the field of image interpretation. As a result, we propose a high level conceptual framework, based on existing and standardized approaches, offering enough modularity and adaptability to represent the various dimensions of spatiotemporal knowledge. specialized TELEDETECTION SPATIALE IMAGE SATELLITE INTERPRETATION D'IMAGE MODELISATION METHODOLOGIE SEMANTIQUE ETUDE DE CAS COUVERT VEGETAL VARIATION SPATIALE VARIATION TEMPORELLE ONTOLOGIE REPRESENTATION DES CONNAISSANCES STANDARDISATION AMAZONIE BRESIL PARA BRESIL 126TELTRN03 7 77-98 2013 1948-660X https://www.documentation.ird.fr/hor/fdi:010062904 10.5311/JOSIS.2013.7.142 1948-660X [F B010062904] https://www.documentation.ird.fr/hor/fdi:010062904 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers14-09/010062904.pdf IRD - Base Horizon / Pleins textes 2014-09-26 2015-01-18 fdi:010062904 fre