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Emergency Management and Response Through 3D Maps and Novel Geo-Information Sources

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Geographical Information Systems Theory, Applications and Management (GISTAM 2023)

Abstract

Geographical Information Systems (GIS) are essential when representing the Common Operational Picture to have a complete understanding of the situation in disasters. A three-dimensional (3D) representation of the terrain, buildings and surroundings of an emergency area increases the situational awareness of first responders in comparison to the classical 2D map representation when facing the emergency response. This paper describes the architectural solution adopted and the set of functionalities developed to enable: a) timely geolocated representation of near real-time multi-sensor data from heterogeneous sources, b) interaction through a 3D GIS environment for virtual emergency area inspection, c) management of users, scenarios and geospatial elements, and d) advanced geospatial processes. Then, the components that enable the main geospatial capabilities are technically detailed. Finally, validation and evaluation activities carried out with professional first responders and trainees are described together with the results and feedback obtained.

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References

  1. b5m Infraestructura de Datos Espaciales de Gipuzkoa. https://b5m.gipuzkoa.eus/web5000/es. Accessed 03 Aug 2023

  2. Cesium Terrain Builder. https://github.com/tum-gis/cesium-terrain-builder-docker. Accessed 24 Nov 2022

  3. Cesium Terrain Server. https://github.com/geo-data/cesium-terrain-server. Accessed 24 Nov 2022

  4. ImpOSM. https://imposm.org/. Accessed 24 Nov 2022

  5. LAStools. https://github.com/LAStools/LAStools. Accessed 03 Aug 2023

  6. OpenStreetMap contributors. http://planet.openstreetmap.org. Planet dump [Data file from 15 Nov 2021]

  7. Plan Nacional de Ortofotografía Aérea (PNOA) - Instituto Geográfico Nacional (IGN). https://www.ign.es/web/ign/portal. Accessed 03 Aug 2023

  8. Py3dtiles. https://gitlab.com/Oslandia/py3dtiles. Accessed 03 Aug 2023

  9. 3D Tiles (2022). https://www.ogc.org/standard/3dtiles/. Accessed 03 July 2023

  10. Cesium JS, 3D geospatial visualization for the web (2022). https://cesium.com/platform/cesiumjs/. Accessed 24 Nov 2022

  11. Abdalla, R.: Evaluation of spatial analysis application for urban emergency management. SpringerPlus 5 (2016). https://doi.org/10.1186/s40064-016-3723-y

  12. Arregui, H., et al.: An augmented reality framework for first responders: the RESPOND-a project approach, pp. 1–6, December 2022. https://doi.org/10.1109/PACET56979.2022.9976376

  13. Bandrova, T., Zlatanova, S., Konečný, M.: Three-dimensional maps for disaster management, vol. I-4, July 2012. https://doi.org/10.5194/isprsannals-I-4-245-2012

  14. Bennet, J.: OpenStreetMap. Packt Publishing Ltd, Birmingham (2010)

    Google Scholar 

  15. Cejudo, I., Irigoyen, E., Arregui, H., Loyo, E.: 3D geospatial data management architecture for common operational picture functionalities in emergency response. In: Grueau, C., Rodrigues, A., Ragia, L. (eds.) Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2023, Prague, Czech Republic, 25–27 April 2023, pp. 48–59. SCITEPRESS (2023). https://doi.org/10.5220/0011837800003473

  16. Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)

    Article  MathSciNet  Google Scholar 

  17. Ezquerro, P., et al.: Analysis of SAR-derived products to support emergency management during volcanic crisis: La Palma case study. Remote Sens. Environ. 295, 113668 (2023). https://doi.org/10.1016/j.rse.2023.113668. https://www.sciencedirect.com/science/article/pii/S0034425723002195

  18. Gao, X., Zhang, J., Zou, R., Li, J., Cao, Z.: Multi-user collaborative virtual emergency drill system for urban road emergencies. ISPRS Ann. Photogram. Remote Sensing Spat. Inf. Sci. X-3/W2-2022, 9–15 (2022). https://doi.org/10.5194/isprs-annals-X-3-W2-2022-9-2022. https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-3-W2-2022/9/2022/

  19. Hart, P., Nilsson, N., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Syst. Sci. Cybernet. 4(2), 100–107 (1968). https://doi.org/10.1109/tssc.1968.300136

  20. Hong, J.H., Lu, Y.H., Chen, C.H.: The use of CCTV in the emergency response: a 3D GIS perspective. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 42, 19–25 (2019)

    Article  Google Scholar 

  21. Iacovella, S.: GeoServer Beginner’s Guide: Share Geospatial Data Using Open Source Standards. Packt Publishing Ltd, Birmingham (2017)

    Google Scholar 

  22. Jagusiak, B., Pokorski, G.: Application of transport security system symbology for emergency mass notification systems. Transp. Probl. Int. Sci. J. 17(3) (2022)

    Google Scholar 

  23. Jutz, S., Milagro-Pérez, M.: Copernicus: the European Earth Observation programme. Revista de Teledetección (56), V–XI (2020)

    Google Scholar 

  24. Kolawole, O., Hunukumbure, M.: A drone-based 3D localization solution for emergency services. In: ICC 2022-IEEE International Conference on Communications, pp. 1–6. IEEE (2022)

    Google Scholar 

  25. Li, B., Wu, J., Pan, M., Huang, J.: Application of 3D WebGIS and real-time technique in earthquake information publishing and visualization. Earthq. Sci. 28, 223–231 (2015). https://doi.org/10.1007/s11589-015-0124-1

  26. Momjian, B.: PostgreSQL: Introduction and Concepts. Addison-Wesley Longman Publishing Co. Inc., Boston (2001)

    Google Scholar 

  27. Mysiris, P., Doulamis, N., Doulamis, A., Sourlas, V., Amditis, A.: Pervasive 3D reconstruction to identify hidden 3D survival spaces for search and rescue management. In: 2018 IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, 16th International Conference on Pervasive Intelligence and Computing, 4th International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress, pp. 808–813 (2018). https://doi.org/10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00-25

  28. Raible, M.: The JHipster Mini-Book. Lulu.com (2016)

    Google Scholar 

  29. Shah, S.A., Seker, D.Z., Hameed, S., Draheim, D.: The rising role of big data analytics and IoT in disaster management: recent advances, taxonomy and prospects. IEEE Access 7, 54595–54614 (2019). https://doi.org/10.1109/ACCESS.2019.2913340

    Article  Google Scholar 

  30. Tan, Y., Liang, Y., Zhu, J.: CityGML in the Integration of BIM and the GIS: challenges and Opportunities. Buildings 13(7) (2023). https://doi.org/10.3390/buildings13071758. https://www.mdpi.com/2075-5309/13/7/1758

  31. Verykokou, S., Ioannidis, C., Athanasiou, G., Doulamis, N., Amditis, A.: 3D reconstruction of disaster scenes for urban search and rescue. Multimedia Tools Appl. 77 (2018). https://doi.org/10.1007/s11042-017-5450-y

  32. Walls, C.: Spring Boot in Action, 1st edn. Manning Publications Co., New York City (2016)

    Google Scholar 

  33. Zlatanova, S.: SII for emergency response: the 3D challenges, June 2008

    Google Scholar 

  34. Zlatanova, S., Oosterom, P., Verbree, E.: 3D technology for improving disaster management: geo-DBMS and positioning. In: Proceedings of the IEEE - PIEEE, July 2004

    Google Scholar 

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Acknowledgements

The research work presented in this article has been supported by the European Commission under the Horizon 2020 Programme, through funding of the RESPOND-A project (G.A. 883371).

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Correspondence to Harbil Arregui .

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Cejudo, I., Irigoyen, E., Arregui, H., Loyo, E. (2024). Emergency Management and Response Through 3D Maps and Novel Geo-Information Sources. In: Grueau, C., Rodrigues, A., Ragia, L. (eds) Geographical Information Systems Theory, Applications and Management. GISTAM 2023. Communications in Computer and Information Science, vol 2107. Springer, Cham. https://doi.org/10.1007/978-3-031-60277-1_6

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  • DOI: https://doi.org/10.1007/978-3-031-60277-1_6

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