Development of a framework for fire risk assessment using remote sensing and geographic information system technologies

Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management

“…For example, the GEOSS Portal [37] and the Data Integration and Analysis System [38] provide user interfaces for searching datasets from the metadata provided by the data provider. Since risk assessment requires data on hazards and on the vulnerability to the hazard (e.g., exposed population, number of elderly people and children) [39][40][41], the data should be provided in a format that is interoperable with other data, such as the commonly used GIS formats.…”

Integration of Lightning- and Human-Caused Wildfire Occurrence Models

“…The human and lightning individual models were generated in the context of the Firemap project (Chuvieco et al 2010). Those models as well as the integrated ones have been validated by using wildfire occurrence data (x, y ignition points) as reported by official statistics and spanning the years 2005-2007.…”

“…The term "risk" is used in very different communities and in various situations but seems to be alleged to two meaning complexes: loss, harm, and injury on one side and chance and probability on the other side (Bachmann and Allgöwer 1999). Chuvieco et al (2003Chuvieco et al ( , 2010 proposed that an integrated assessment of fire risk should consider both fire ignition probability as well as the assessment of potential damages (vulnerability of the affected areas). Within the framework of the Firemap research project ("Integrated Analysis of Wildland Fire with Remote Sensing and GIS") a wildland fire risk index was developed that integrates the human and environmental factors related to fire ignition (Chuvieco et al 2010).…”

“…Chuvieco et al (2003Chuvieco et al ( , 2010 proposed that an integrated assessment of fire risk should consider both fire ignition probability as well as the assessment of potential damages (vulnerability of the affected areas). Within the framework of the Firemap research project ("Integrated Analysis of Wildland Fire with Remote Sensing and GIS") a wildland fire risk index was developed that integrates the human and environmental factors related to fire ignition (Chuvieco et al 2010). This index has considered the human and lightning fire ignition sources separately; and as a result, independent predictive models for each causative agent have been generated.…”

“…Chuvieco et al (2010) based the assessment of daily integrated indices on fire statistics (ignition points collected within 4 months of daily data), evaluating the existence of significant differences between the risk values of fire and no fire cells. They computed (i) the Mahalanobis Distance; (ii) the Mann-Whitney U-test; (iii) and the Nagelkerke R 2 coefficient from logistic regression fittings for each integrated index.…”