Damage cadasters for wildland-urban interface fires in Chile, 2019-2022

Wildland-urban interface (WUI) regions are particularly vulnerable to wildfires due to their proximity to both nature and urban developments, posing significant risks to lives and property. To enhance our understanding of the risk profiles in WUI areas, we analysed seven fire case studies in central Chile. In the paper "Modelling the vulnerability of urban settings to WUI fires in Chile", We developed a mixed-methods approach for conducting local-scale analyses which involved field surveys, remote-sensing through satellite and drone imagery, and GIS-based analysis of the collected data. The methodology led to the generation of a georeferenced dataset of damaged and undamaged dwellings, including 16 variables representing their physical characteristics, spatial arrangement, and the availability of fire suppression resources. A binary classification model was then used to assess the relative importance of these attributes as indicators of vulnerability. The analysis revealed that spatial arrangement factors have a greater impact on damage prediction than the structural conditions and fire preparedness of individual units. Specifically, factors such as dwelling proximity to neighbours, distance to vegetation, proximity to the border of dwelling groups, and distance from the origin of the fire substantially contribute to the prediction of fire damage. Other structural attributes associated with less affluent homes may also increase the likelihood of damage, although further data is required for confirmation. This study provides insights for the design, planning, and governance of WUI areas in Chile, aiding the development of risk mitigation strategies for both built structures and the broader territorial area.荒野-城市交界带（Wildland-urban interface, WUI）因同时毗邻自然生态与城市建成区，极易遭受野火侵扰，对民众生命与财产安全构成重大威胁。为深化对WUI区域风险特征的认知，本研究针对智利中部的7起野火案例展开分析。在题为"Modelling the vulnerability of urban settings to WUI fires in Chile"的论文中，本研究提出了一套适用于局域尺度分析的混合研究方法，涵盖实地调研、卫星与无人机影像遥感分析，以及对采集数据的地理信息系统（GIS）处理。该方法生成了一套经地理配准的受损与未受损住宅数据集，包含16项表征住宅物理属性、空间布局以及区域灭火资源配置情况的变量。随后，本研究借助二元分类模型，评估了各项属性作为脆弱性表征指标的相对重要性。分析结果显示，相较于单栋住宅的结构条件与防火准备情况，空间布局因素对火灾损毁预测的影响更为显著。具体而言，住宅与相邻建筑的间距、距植被的距离、住宅组团边界的临近程度，以及距火点起源地的距离，均对火灾损毁预测具有实质性贡献。与经济欠发达住宅相关的其他结构属性，同样可能提升损毁发生概率，不过仍需更多数据予以验证。本研究可为智利WUI区域的规划设计、治理工作提供科学参考，助力制定针对建成构筑物及全域范围的野火风险减灾策略。