Scientific Research

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

December 2020 • Goran Krsnik, Eduard Busquets Olivé, Míriam Piqué Nicolau, Asier Larrañaga, Adrián Cardil, Jordi García-Gonzalo and José Ramón González Olabarría

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← Previous Establishing Propagation Nodes as a Basis for Preventing Large Wildfires: The Proposed Methodology Next → An hourly and daily fire weather index dataset (2021–2023).
A large wildfire burns on a hillside behind a residential neighborhood with red-roofed houses, sending thick gray smoke into the sky; overlaid text describes an “urban conflagration” where fire spreads into a wildland-urban interface and destroys buildings with high intensity.

Scientific Research

Technosylva’s Urban Conflagration Model Helps Utilities and Fire Agencies Prepare for Fires in Populated Areas

Technosylva’s Urban Conflagration Model addresses that gap by simulating how fires spread through the wildland-urban interface, where structure density, vegetation encroachment, and fuel types create fire behavior that looks fundamentally different from wildland fires.

Scientific Research

Assessing the suppression difficulty of wildland fires for initial attack response

2025 • Adrián Cardil, Adrián Jiménez-Ruano, Santiago Monedero, Phillip SeLegue, Macarena Ortega, Raúl Quilez, Jeff Fuentes, Geoff Marshall, Robert Clark, Tim Chavez, Sergio de-Miguel, Tomás Quiñones, Fernando Bezares, Scott Purdy, Kristen Allison, Tim Metzger, Chris Waters, Midhun Mohan, Joaquín Ramirez

Scientific Research

FIRE-RES Geo-Catch: a mobile application to support reliable fuel mapping at a pan-European scale

2023 • Erico Kutchartt, José R. González-Olabarria, Antoni Trasobares, Sergio de-Miguel, Adrián Cardil, Brigite Botequim, Vassil Vassilev, Palaiologos Palaiologou, Martino Rogai, Francesco Pirotti
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