3D Geospatial Data Management Architecture for Common Operational Picture Functionalities in Emergency Response

Iñaki Cejudo, Eider Irigoyen, Harbil Arregui, Estíbaliz Loyo

2023

Abstract

In disaster management, the emergency response commanded from the Command and Control center can make the difference for a faster and safer outcome. Novel sensing tools provide new capabilities to monitor and evaluate what happens in real time with location information of first responders and casualties being a key resource. Therefore, Geographical Information Systems (GIS) are essential when representing the Common Operational Picture to have a complete understanding of the situation in the field, obtained through big amounts of real-time data coming from multiple sources, and therefore support decision making. Moreover, the 3-dimensional representation of the terrain and buildings enhance the classical 2D map representation. In this work, a detailed overview of the architecture components and functionalities developed for a data-driven emergency response 3D web GIS application is described. In addition, a quantitative evaluation of how the number of location records collected from various numbers of first responders impacts the performance of some geospatial tasks needed for an efficient visual representation is provided, depending on the data measurement frequency.

Paper Citation

in Harvard Style

Cejudo I., Irigoyen E., Arregui H. and Loyo E. (2023). 3D Geospatial Data Management Architecture for Common Operational Picture Functionalities in Emergency Response. In Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-649-1, SciTePress, pages 48-59. DOI: 10.5220/0011837800003473

in Bibtex Style

@conference{gistam23,
author={Iñaki Cejudo and Eider Irigoyen and Harbil Arregui and Estíbaliz Loyo},
title={3D Geospatial Data Management Architecture for Common Operational Picture Functionalities in Emergency Response},
booktitle={Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2023},
pages={48-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011837800003473},
isbn={978-989-758-649-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - 3D Geospatial Data Management Architecture for Common Operational Picture Functionalities in Emergency Response
SN - 978-989-758-649-1
AU - Cejudo I.
AU - Irigoyen E.
AU - Arregui H.
AU - Loyo E.
PY - 2023
SP - 48
EP - 59
DO - 10.5220/0011837800003473
PB - SciTePress