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      People&Fire webGIS tool for wildfire risk assessment

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            People&Fire webGIS tool allows the computation of wildfire risk scenarios centred on land use transformation.

          Abstract

          People&Fire webGIS tool is an application for wildfire risk assessment, focused on obtaining simulating hazard and risk scenarios centred on land use transformation. This tool is a decision-support platform created in the context of a research project, which was dedicated to testing a new analytical framework for supporting the development and evaluation of new, integrated, and people-centred policy approaches to wildfires. The simulator used in the tool is based on the wildfire risk model that results from the combination of three components: hazard (H), exposure (E), and social vulnerability (SV). Based on the wildfire risk model and using real data, from a study region particularly susceptible to forest wildfires the as-is and to-be scenarios demonstrate People&Fire webGIS capacity. People&Fire webGIS tool is available for download at https://github.com/nmileu/peopleandfire.

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          A national approach for integrating wildfire simulation modeling into Wildland Urban Interface risk assessments within the United States

          Jessica Haas, David E Calkin, Matthew P Thompson (2013)
          Article 0 comments Cited 33 times – based on 0 reviews     Review now
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            Uncertainty and risk in wildland fire management: a review.

            Matthew P Thompson, Dave Calkin (2011)
            Wildland fire management is subject to manifold sources of uncertainty. Beyond the unpredictability of wildfire behavior, uncertainty stems from inaccurate/missing data, limited resource value measures to guide prioritization across fires and resources at risk, and an incomplete scientific understanding of ecological response to fire, of fire behavior response to treatments, and of spatiotemporal dynamics involving disturbance regimes and climate change. This work attempts to systematically align sources of uncertainty with the most appropriate decision support methodologies, in order to facilitate cost-effective, risk-based wildfire planning efforts. We review the state of wildfire risk assessment and management, with a specific focus on uncertainties challenging implementation of integrated risk assessments that consider a suite of human and ecological values. Recent advances in wildfire simulation and geospatial mapping of highly valued resources have enabled robust risk-based analyses to inform planning across a variety of scales, although improvements are needed in fire behavior and ignition occurrence models. A key remaining challenge is a better characterization of non-market resources at risk, both in terms of their response to fire and how society values those resources. Our findings echo earlier literature identifying wildfire effects analysis and value uncertainty as the primary challenges to integrated wildfire risk assessment and wildfire management. We stress the importance of identifying and characterizing uncertainties in order to better quantify and manage them. Leveraging the most appropriate decision support tools can facilitate wildfire risk assessment and ideally improve decision-making.
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              An intelligent system for forest fire risk prediction and fire fighting management in Galicia

              Eulogio Jiménez, Tarsy Carballas, Elena Hernández-Pereira … (2003)
              Article 0 comments Cited 21 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Nelson Mileu
                Journal
                Journal ID (nlm-ta): MethodsX
                Journal ID (iso-abbrev): MethodsX
                Title: MethodsX
                Publisher: Elsevier
                ISSN (Electronic): 2215-0161
                Publication date PMC-release: 10 April 2024
                Publication date Collection: June 2024
                Publication date (Electronic): 10 April 2024
                Volume: 12
                Electronic Location Identifier: 102709
                Affiliations
                [0001]University of Lisbon, Centre of Geographical Studies, Institute of Geography and Spatial Planning, 1600-276 Lisbon, Portugal
                Author notes
                [* ]Corresponding author. nmileu@ 123456edu.ulisboa.pt
                Article
                Publisher Item ID: S2215-0161(24)00163-8 Publisher ID: 102709
                DOI: 10.1016/j.mex.2024.102709
                PMC ID: 11636877
                PubMed ID: 39669973
                SO-VID: 50488073-fab9-4dd8-bbc1-1541c4e5e800
                Copyright © © 2024 The Authors
                License:

                This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

                History
                Date received : 21 January 2024
                Date accepted : 10 April 2024
                Categories
                Subject: Earth and Planetary Science

                Keywords: wildfire risk assessment,wildfire hazard,decision support,webgis,risk scenarios
                Data availability:
                Keywords: wildfire risk assessment, wildfire hazard, decision support, webgis, risk scenarios

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