Geographic data is growing in size and variety, which calls for big data management tools
and analysis methods. To efficiently integrate information from high dimensional data, this …

Earth observation (EO) datasets are commonly provided as collection of scenes, where
individual scenes represent a temporal snapshot and cover a particular region on the Earth's …

Over the past few years, Earth Observation (EO) has been continuously generating much
spatiotemporal data that serves for societies in resource surveillance, environment …

Technologies around the world produce and interact with geospatial data instantaneously,
from mobile web applications to satellite imagery that is collected and processed across the …

Reproducible Earth observation analytics: challenges, ideas, and a study case on containerized
land use change detection Page 1 Reproducible Earth observation analytics: challenges …

Abstract Global Climate Models (GCMs) are essential tools to simulate future climate
indicators and are widely used in global climate change studies. The outputs of GCMs are …

Technologies around the world produce and interact with geospatial data instantaneously,
from mobile web applications to satellite imagery that is collected and processed across the …

A: D→ V where▶ D⊂ D1× D2×...× Dn and▶ V⊂ V1× V2×...× Vm and▶ individual
dimensions Di are finite and totally ordered. Dimensions are typically encoded by integers …

The massive amount of Earth observations provides important information for modelling
environmental change. The opportunities brought by these multidimensional data such as …