Regional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
Busquets Olivé, Eduard
Piqué i Nicolau, Míriam
Garcia Gonzalo, Jordi
González-Olabarria, José Ramón
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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.
Is part ofRemote Sensing, 2020, vol. 12, núm. 24, p. 4124
European research projects
Except where otherwise noted, this item's license is described as cc-by, (c) Krsnik, Goran et al., 2020
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