TY - JOUR
T1 - An integrated decision support system for improving wildfire suppression management
AU - Lourenço, Miguel
AU - Oliveira, Luís Bica
AU - Oliveira, João P.
AU - Mora, André Damas
AU - Oliveira, Henrique
AU - Santos, Rui
N1 - Funding Information:
This work was financially supported by FCT (National Foundation of Science and Technology) within the Research Unit CTS?Centre of Technology and Systems, UIDB/00066/2020, and the Project forester (PCIF/SSI/0102/2017). We would like to thank the authorities from the municipality of Ma??o, in particular to Engineer Ant?nio Louro, for the valuable support in establishing the user requirements and the feedback for the system?s validation. Special thanks to the Adjunct of National Operations in the National Command of Security Operations (CNOS) part of the National Authority of Civil Protection (ANPC) Alexandre Penha, for their input in the early stages of this work.
PY - 2021/7/23
Y1 - 2021/7/23
N2 - 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 knowledge into 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-sensor technologies and geographic information system (GIS) functionalities is proposed to leverage operational data, enabling faster and more informed decisions to reduce the impact of wildfires. Here we present a flexible and reconfigurable DSS composed of three components: an ArcGIS online feature service that provides operational data and enables a collaborative environment of users that share operational data in near real-time; a mobile client application to interact with the system, enabling the use of GIS technology and visualization dashboards; and a multi-sensor device that collects field data providing value to external services. The design and validation of this system benefitted from the feedback of wildfire management specialists and a partnership with an end-user in the municipality of Mação that also helped establish the system requirements. The validation results demonstrated that a robust system was achieved with fully interoperable components that fulfill the defined system requirements.
AB - 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 knowledge into 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-sensor technologies and geographic information system (GIS) functionalities is proposed to leverage operational data, enabling faster and more informed decisions to reduce the impact of wildfires. Here we present a flexible and reconfigurable DSS composed of three components: an ArcGIS online feature service that provides operational data and enables a collaborative environment of users that share operational data in near real-time; a mobile client application to interact with the system, enabling the use of GIS technology and visualization dashboards; and a multi-sensor device that collects field data providing value to external services. The design and validation of this system benefitted from the feedback of wildfire management specialists and a partnership with an end-user in the municipality of Mação that also helped establish the system requirements. The validation results demonstrated that a robust system was achieved with fully interoperable components that fulfill the defined system requirements.
KW - Data fusion
KW - Decision support system
KW - GIS
KW - Multi-sensor device
KW - Wildfires suppression
UR - http://www.scopus.com/inward/record.url?scp=85111613965&partnerID=8YFLogxK
U2 - 10.3390/ijgi10080497
DO - 10.3390/ijgi10080497
M3 - Article
AN - SCOPUS:85111613965
SN - 2220-9964
VL - 10
JO - ISPRS International Journal of Geo-Information
JF - ISPRS International Journal of Geo-Information
IS - 8
M1 - 497
ER -