GEO-OPEN-HACK: An Initiative on Big Geospatial Data Processing with Open Computing Infrastructure and Open Tools

Milenković M; Amatulli G; Sethi T; Oonk R; Fouilloux A; Odaka T; Claus M; Premier V; Fonseca A; Kempeneers P; Lovergine FP; Parente L; Ho Y; Heisig J; Masiliunas D; Wagner W; Pebesma E; Griffiths P; Verbesselt J; Hengl T; McCallum I; Fritz S

Abstract

To maximize the potential of big geospatial data streams, they  shall be processed on high-performance computing (HPC) infrastructure, whereas local code shall be adopted to use this  infrastructure efficiently. This paper presents a non-profit initiative, GEO-OPEN-HACK, that aims at lowering the technical barrier for environmental scientists through one-week  hackathons on open-source HPC processing approaches, such  as openEO, Pangeo, and OEMC. We present the above solutions, hackathon setup, and analysis based on the pre-event  questionnaire about the participants’ big data projects.