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Article

Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning

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Forest Science and Technology Centre of Catalonia (CTFC), Ctra. Sant Llorenç de Morunys, Km 2, 25280 Solsona (Lleida), Spain
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JRU CTFC-AGROTECNIO, Ctra. Sant Llorenç de Morunys, Km 2, 25280 Solsona (Lleida), Spain
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Bombers-GRAF, Fire Department, Government of Catalonia, Ctra. Universitat Autònoma s/n, 08290 Cerdanyola del Vallès (Barcelona), Spain
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School of Agrifood and Forestry Science and Engineering, University of Lleida, Av. de l’Alcalde Rovira Roure, 191, 25198 Solsona (Lleida), Spain
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Tecnosylva, Calle Nicostrato Vela s/n, 24009 León, Spain
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Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(24), 4124; https://doi.org/10.3390/rs12244124
Received: 3 November 2020 / Revised: 13 December 2020 / Accepted: 16 December 2020 / Published: 17 December 2020
(This article belongs to the Special Issue LiDAR Remote Sensing of Forest Resources and Wildland Fires)
Both fire risk assessment and management of wildfire prevention strategies require different sources of data to represent the complex geospatial interaction that exists between environmental variables in the most accurate way possible. In this sense, geospatial analysis tools and remote sensing data offer new opportunities for estimating fire risk and optimizing wildfire prevention planning. Herein, we presented a conceptual design of a server that contained most variables required for predicting fire behavior at a regional level. For that purpose, an innovative and elaborated fuel modelling process and parameterization of all needed environmental and climatic variables were implemented in order to enable to more precisely define fuel characteristics and potential fire behaviors under different meteorological scenarios. The server, open to be used by scientists and technicians, is expected to be the steppingstone for an integrated tool to support decision-making regarding prevention and management of forest fires in Catalonia. View Full-Text
Keywords: forest fire prevention; fire hazard; fire simulation; open access server; fuel modelling; weather scenarios modelling; geospatial dataset forest fire prevention; fire hazard; fire simulation; open access server; fuel modelling; weather scenarios modelling; geospatial dataset
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MDPI and ACS Style

Krsnik, G.; Busquets Olivé, E.; Piqué Nicolau, M.; Larrañaga, A.; Cardil, A.; García-Gonzalo, J.; González Olabarría, J.R. Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning. Remote Sens. 2020, 12, 4124. https://doi.org/10.3390/rs12244124

AMA Style

Krsnik G, Busquets Olivé E, Piqué Nicolau M, Larrañaga A, Cardil A, García-Gonzalo J, González Olabarría JR. Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning. Remote Sensing. 2020; 12(24):4124. https://doi.org/10.3390/rs12244124

Chicago/Turabian Style

Krsnik, Goran, Eduard Busquets Olivé, Míriam Piqué Nicolau, Asier Larrañaga, Adrián Cardil, Jordi García-Gonzalo, and José R. González Olabarría. 2020. "Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning" Remote Sensing 12, no. 24: 4124. https://doi.org/10.3390/rs12244124

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