Towards a spatio-temporal query language for the interrogation of graph-based satellite image time series models

Boulmedais Zaid, Mohamed Farah, Imed Riadh Farah · 2022

This study introduces a new dynamic graph-based model for representing satellite image time series. This model consists of a set of graphs modeling images in the series as well as the dynamics of the scene (evolution, expansion, reduction, extinction, etc.). This dynamic graph-based model is well suited in order to propose a spatio-temporal query language with queries dealing with the spatial and temporal dimensions simultaneously.

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