The design and implementation of the open geospatial engine (OGE)

doi:10.11947/j.AGCS.2025.20250051

Abstract

Abstract:

The construction of new spatiotemporal information infrastructure relies on innovative software middleware and geographic information service models. Driven by cloud computing, artificial intelligence, and big data, traditional spatiotemporal data infrastructure is evolving from data services to intelligent computing services. This paper focuses on a spatiotemporal intelligent computing service platform, aiming to develop a Digital Earth Cube-ready service. It explores key technologies in organizing, computing, and reasoning with geospatial big data, and develops the open geospatial engine (OGE) system, which deeply integrates computing power, data, and algorithms while promoting openness and sharing. The system provides a data-ready, analysis-ready, and decision-ready geospatial data-information-knowledge service framework, forming an open geospatial engine (OGE) and establishing a new type of spatiotemporal information infrastructure based on spatiotemporal cube management and geospatial big data analysis. Based on this foundation, an OGE prototype system has been developed, integrating various types of Earth observation data accumulated by Wuhan University and related institutions. A series of typical spatiotemporal analysis experiments covering raster, vector, and thematic data were conducted, validating OGE's capabilities in managing and analyzing geospatial big data.

Key words: geospatial information services, spatio-temporal information infrastructure, open geospatial engine, spatiotemporal intelligent computing, geospatial data cube

CLC Number:

P237

Jianya GONG, Peng YUE, Longgang XIANG, Haoru WU, Kaixuan WANG, Ruixiang LIU, Baoxin TENG. The design and implementation of the open geospatial engine (OGE)[J]. Acta Geodaetica et Cartographica Sinica, 2025, 54(4): 587-602.

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