The Greek Soil Data Cube in Support of Generating Soil Related Analysis Ready Data

Analysis-ready data generated through datacube approaches are essential in Earth Observation (EO) data analysis. By pre-processing and organizing large volumes of satellite imagery into spatio-temporal datacubes, analysis-ready data facilitates efficient and streamlined analysis workflows, enabling quick access and manipulation of the multi-dimensional EO data. This allows researchers, scientists, and stakeholders to focus on analyzing the data, detecting trends, monitoring changes, and deriving actionable information. In this paper, we describe the architecture of the Greek Soil Data Cube which ingests Sentinel-2 data from the entire country and generates the annual bare soil reflectance composites which in turn may be used to predict soil physicochemical properties using artificial intelligence techniques.