Conceptualizing the analysis-readiness for the next-generation SDI through the Open Geospatial Engine (OGE)

Abstract

The rapid advancement of Earth Observation (EO) technologies has led to an unprecedented surge in geospatial big data. This motivates an efficient infrastructure for storage, processing, and analysis of geospatial big data. There are two promising ways for approaching this, data readiness and infrastructure readiness. The former one is the notably existing Analysis-ready Data (ARD) effort. The other is the analysis-ready SDI (Spatial Data Infrastructure) proposed in this paper. The paper conceptualizes an analysis-ready SDI following a four-layer readiness framework – GeoData, GeoComputation, GeoAI, and GeoService. It involves traditional SDI into a spatiotemporal big data infrastructure that integrates data, algorithms, and computing power into a distributed framework for intelligent geospatial services. The conceptualization is approached through OGE (Open Geospatial Engine), which is a cloud-native platform that integrates storage, distributed computing, AI-driven geospatial inference, and standardized services. It helps establish a next-generation SDI ready for analysing massive Earth spatiotemporal data. The applicability is demonstrated through a series of applications in global data analysis, quantitative remote sensing analysis, GeoAI inference, 3D analysis, etc.

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