The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVIII-4/W14-2025
https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-33-2025
https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-33-2025
26 Nov 2025
 | 26 Nov 2025

A Study on Novel Grid-based Spatiotemporal Information Management Techniques

Long Gao, Yuanyuan Liu, and Hui Yin

Keywords: grid, entity, spatial-temporal information, spatial-temporal management mode, spatial-temporal information model

Abstract. To address the problems and challenges of spatiotemporal information management in the era of big data, this study utilizes the Earth-based spatiotemporal grid framework technology. It establishes a spatial management model based on spatiotemporal grids and proposes a timeline-based "scene-grid-entity" dynamic coordinated management approach for spatial data. This method realizes grid-based construction of spatial scenes, grid-based definition of spatial entities, and grid-based management mechanisms for spatial activities. A novel spatiotemporal information organizational management model and storage structure are designed, enabling the fusion of multi-source heterogeneous spatial data, unified organizational management of spatiotemporal big data, and multi-scale representation. The proposed framework demonstrates significant application value in fields such as national territorial spatial planning and smart city management.

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