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
b5m Infraestructura de Datos Espaciales de Gipuzkoa. https://b5m.gipuzkoa.eus/web5000/es. Accessed 03 Aug 2023
Cesium Terrain Builder. https://github.com/tum-gis/cesium-terrain-builder-docker. Accessed 24 Nov 2022
Cesium Terrain Server. https://github.com/geo-data/cesium-terrain-server. Accessed 24 Nov 2022
ImpOSM. https://imposm.org/. Accessed 24 Nov 2022
LAStools. https://github.com/LAStools/LAStools. Accessed 03 Aug 2023
OpenStreetMap contributors. http://planet.openstreetmap.org. Planet dump [Data file from 15 Nov 2021]
Plan Nacional de Ortofotografía Aérea (PNOA) - Instituto Geográfico Nacional (IGN). https://www.ign.es/web/ign/portal. Accessed 03 Aug 2023
Py3dtiles. https://gitlab.com/Oslandia/py3dtiles. Accessed 03 Aug 2023
3D Tiles (2022). https://www.ogc.org/standard/3dtiles/. Accessed 03 July 2023
Cesium JS, 3D geospatial visualization for the web (2022). https://cesium.com/platform/cesiumjs/. Accessed 24 Nov 2022
Abdalla, R.: Evaluation of spatial analysis application for urban emergency management. SpringerPlus 5 (2016). https://doi.org/10.1186/s40064-016-3723-y
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
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
Bennet, J.: OpenStreetMap. Packt Publishing Ltd, Birmingham (2010)
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
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)
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
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/
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
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)
Iacovella, S.: GeoServer Beginner’s Guide: Share Geospatial Data Using Open Source Standards. Packt Publishing Ltd, Birmingham (2017)
Jagusiak, B., Pokorski, G.: Application of transport security system symbology for emergency mass notification systems. Transp. Probl. Int. Sci. J. 17(3) (2022)
Jutz, S., Milagro-Pérez, M.: Copernicus: the European Earth Observation programme. Revista de Teledetección (56), V–XI (2020)
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)
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
Momjian, B.: PostgreSQL: Introduction and Concepts. Addison-Wesley Longman Publishing Co. Inc., Boston (2001)
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
Raible, M.: The JHipster Mini-Book. Lulu.com (2016)
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
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
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
Walls, C.: Spring Boot in Action, 1st edn. Manning Publications Co., New York City (2016)
Zlatanova, S.: SII for emergency response: the 3D challenges, June 2008
Zlatanova, S., Oosterom, P., Verbree, E.: 3D technology for improving disaster management: geo-DBMS and positioning. In: Proceedings of the IEEE - PIEEE, July 2004
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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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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