An Advanced Framework for Semantic Querying of The Dynamic World Dataset

Abstract:

Within this contribution we show how the Dynamic World data by Google and the World Resources Institute can be semantically queried, using a methodology originally developed for use within semantic Earth observation (EO) data cubes. We demonstrate in a minimal working example how the Dynamic World dataset can be analyzed through space and time based on the given categories/classes but also on aggregated classes. This is beyond selecting the most occurring class (i.e., using the mode operator) and opens new possibilities for using this dataset and a new direction to unfold its potential.