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Title: An integrated decision support system for improving wildfire suppression management
Authors: Lourenço, Miguel
Oliveira, Luis
Oliveira, João
Mora, André
Oliveira, Henrique
Santos, Rui
Keywords: Decision support system
Multi-sensor device
Data fusion
Wildfires suppression
Issue Date: 23-Jul-2021
Publisher: MDPI
Citation: Lourenço, M., Oliveira, L., Oliveira, J., Mora, A., Oliveira, H., Santos, R. (2021). An integrated decision support system for improving wildfire suppression management. ISPRS International Journal of Geo-Information, 10(8), 497. DOI:
Abstract: Wildfires are expected to increase in number, extent, and severity due to climate change.Hence, it is ever more important to integrate technological developments and scientific knowledgeinto fire management aiming at protecting lives, infrastructure, and the environment. In this paper,a decision support system (DSS) adapted to the Portuguese context and based on multi-sensortechnologies and geographic information system (GIS) functionalities is proposed to leverage opera-tional data, enabling faster and more informed decisions to reduce the impact of wildfires. Here wepresent a flexible and reconfigurable DSS composed of three components: an ArcGIS online featureservice that provides operational data and enables a collaborative environment of users that shareoperational data in near real-time; a mobile client application to interact with the system, enablingthe use of GIS technology and visualization dashboards; and a multi-sensor device that collectsfield data providing value to external services. The design and validation of this system benefittedfrom the feedback of wildfire management specialists and a partnership with an end-user in themunicipality of Mação that also helped establish the system requirements. The validation resultsdemonstrated that a robust system was achieved with fully interoperable components that fulfill thedefined system requirements.
Peer reviewed: yes
metadata.dc.identifier.doi: 10.3390/ijgi10080497
ISSN: 2220-9964
Publisher version:
Appears in Collections:D-ENG - Artigos em revistas com peer review

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