François Pimont

HIGRAD/FIRETEC

Alexander Josephson, Rodman Linn, Eunmo Koo, Jon Reisner et autres

This is the public-facing repository for the LANL-developed and maintained HIGRAD/FIRETEC software, a CFD software designed to simulate the coupled fire-atmospheric processes at a landscape-scale of resolution. Distribution is possible under OSS license O5086.

us (code pays fourni par la source)

Improved fire severity prediction using pre-fire remote sensing and meteorological time series: Application to the French Mediterranean area

Victor Pénot, Thomas Opitz, François Pimont, Olivier Merlin

Fire severity , or how an environment is affected by fire, can be estimated over large areas using remotely sensed indices like the Relative Burnt Ratio (RBR). RBR predictions typically rely on data from a single date just before the fire. However, …

fr (code pays fourni par la source)

Piloting early-warning indicators of Extreme wildfire events incorporating fire-weather and vegetation conditions. FIRE-RES deliverable 1.6 IA 1.3 Brief.

Julien Ruffault, François Pimont, Thomas Opitz, Jean‐Luc Dupuy

Extreme wildfire events (EWEs), defined here as wildfires exceeding 5,000 ha, are a growing concern across European landscapes, posing important threats to economies, ecosystems and human safety. Accurate and timely warnings are essential to prevent and mitigate their devastating impacts. We leveraged …

fr, us (code pays fourni par la source)

Valorisation de la donnée LiDAR HD : Classification de la structure 3D du combustible et intégration à la cartographie INRAE-ONF des interfaces habitat-forêt

François Pimont, Maxime Soma, Olivier Martin‐Ducup, Didier Besombes et autres

fr (code pays fourni par la source)

Satellite-based mapping of canopy fuels at the pan-European scale

Erico Kutchartt, José Ramón González‐Olabarria, Antoni Trasobares, Núria Aquilué et autres

Canopy base height (CBH) and canopy bulk density (CBD) are forest canopy fuel parameters that are key for modeling the behavior of crown wildfires. In this work, we map them at a pan-European scale for the year 2020, producing a new dataset …

it, es, pt, gb, no, gr, mx, bg, fr (code pays fourni par la source)

Unlocking the potential of Airborne LiDAR for direct assessment of fuel bulk density and load distributions for wildfire hazard mapping

Olivier Martin‐Ducup, Jean‐Luc Dupuy, Maxime Soma, Juan Guerra-Hernández et autres

• The beer-lambert law is used to estimate bulk density vertical profile from ALS. • Key fuel metrics for modelling fire behavior are derived from the profiles. • ALS estimates are consistent with field data for simple forest structures. • Our method …

fr, pt, es, co, it (code pays fourni par la source)

A comparative analysis of fire-weather indices for enhanced fire activity prediction with probabilistic approaches

Jorge Castel-Clavera, François Pimont, Thomas Opitz, Julien Ruffault et autres

• Relying on fire-weather indices is insufficient for proper prediction of fire danger. • Spatio-temporal effects are necessary to improve the performance of fire indices. • We used a probabilistic Bayesian framework where fires are a marked point process. • The Canadian …

fr (code pays fourni par la source)

Innovative Action 1.3 : Piloting early-warning indicators of extreme wildfire events incorporating fire-weather and vegetation conditions

Julien Ruffault, François Pimont, Thomas Optiz, Éric Rigolot et autres

International audience

fr (code pays fourni par la source)

Exploring the role of plant hydraulics in canopy fuel moisture content: insights from an experimental drought study on Pinus halepensis Mill. and Quercus ilex L.

Coffi Belmys Cakpo, Julien Ruffault, Jean‐Luc Dupuy, François Pimont et autres

Abstract Key Message Understanding the impact of extreme drought on the canopy fuel moisture content (CFMC) is crucial to anticipate the effects of climate change on wildfires. Our study demonstrates that foliage mortality, caused by leaf embolism, can substantially diminish CFMC during …

fr, es (code pays fourni par la source)

Bayesian spatiotemporal modelling of wildfire occurrences and sizes for projections under climate change

Juliette Legrand, François Pimont, Jean‐Luc Dupuy, Thomas Opitz

Appropriate spatiotemporal modelling of wildfire activity is crucial for its prediction and risk management. Here, we focus on wildfire risk in the Aquitaine region in the Southwest of France and its projection under climate change. We study whether wildfire risk could further …

fr (code pays fourni par la source)

Isohydricity and hydraulic isolation explain reduced hydraulic failure risk in an experimental tree species mixture

Myriam Moreno, Guillaume Simioni, Hervé Cochard, Claude Doussan et autres

Species mixture is promoted as a crucial management option to adapt forests to climate change. However, there is little consensus on how tree diversity affects tree water stress, and the underlying mechanisms remain elusive. By using a greenhouse experiment and a soil-plant-atmosphere …

fr, br (code pays fourni par la source)

Correction to: Spatiotemporal wildfire modeling through point processes with moderate and extreme marks

Jonathan Koh, François Pimont, Jean‐Luc Dupuy, Thomas Opitz

ch, bg, cz, us, fr (code pays fourni par la source)