ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (May 2024)

Dynamic Geospatial Data Integration: A Case Study of Moving Objects in Munakata City, Japan Using OGC API Moving Features and Sensorthings API

  • T. Santhanavanich,
  • T. Santhanavanich,
  • R. Padsala,
  • R. Padsala,
  • M. Betz,
  • V. Coors

DOI
https://doi.org/10.5194/isprs-annals-X-4-W4-2024-209-2024
Journal volume & issue
Vol. X-4-W4-2024
pp. 209 – 216

Abstract

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The effective tracking and analysis of moving objects within urban environments presents a complex challenge that necessitates robust geospatial data integration. Open Geospatial Consortium (OGC) APIs offer standardized approaches to managing dynamic geospatial information. This paper presents a case study of real-time moving object tracking including buses and trains in the city of Munakata, Japan, utilizing two prominent OGC APIs: OGC API Moving Features and OGC SensorThings API. The study explores the implementation of both APIs, examining their strengths and limitations in handling real-time location updates and associated sensor data generated by moving buses. The research provides insights into the practical suitability of each API model for dynamic object tracking, offering valuable guidance for practitioners seeking to optimize geospatial data integration within smart cities and intelligent transportation systems.