Under the effect of climate change, the aggravation of the natural context and the rapid evolution of the stakes exposed, the risk of forest fires is progressing rapidly in the French department of Aude. ALEOFEU should help identify ways of improving existing tools and models, such as an annually updateable hazard and a better assessment of the hydric state of the vegetation.

Dynamic forest fire hazard


The objectives of the project

A place of climatic confluence, from the Mediterranean coast to the Atlantic influence, via the foothills of the Massif Central and the Pyrenees, the French department of Aude is a demonstrator of the progression of the risk of forest fires under the effects of climate change.

The project will explore the potential of satellite data to contribute to the development of hazard definition and risk exposure models during the summer period, and then to the construction of operational tools or demonstrators to assist in the decision-making process for public policies of the State and departmental fire and rescue services (SDIS). These tools concern the prevention and fight against forest fires, by integrating the observed and modelled evolution of climatic and territorial conditions, and by anticipating them as well as possible.

The work carried out within the framework of the SCO Aleofeu will thus make it possible to propose hazard definition models that can be updated at least annually and to improve the assessment of the hydric state of vegetation by specifying and generalising the operational indicators of vegetation drought and hazard indices derived from Earth Observation.

3 « workpackages » (WP)

Aleofeu Project

Prerequisite: A departmental study defining the reference forest fire hazard, to be carried out in 2022 in the Aude department, will serve as a working basis for discussions on the modelling of an evolving hazard.

  • WP 1: Establishing the Structural Vulnerability to Wildfire

As exposure to fire is largely determined by land-use factors, understanding past developments is a prerequisite for forecasting future developments.

INRAE has developed a probabilistic model of fire occurrence and size (Firelihood), integrating for its construction real fire observation data (Prométhée database) and exploiting the information contained in the fire danger indices (calculated from meteorological data) as well as the local characteristics of land use and human activities.

This model will be applied specifically to the Aude region to analyse recent changes in the occurrence of fires and will integrate, by quantifying them, the components that could potentially explain these changes outside of climate change (progress in prevention and control, agricultural and winegrowing changes, urban expansion, etc.). Satellite data will be integrated into the model according to the thematic fields to be analysed, based on empirical knowledge of the territory by local stakeholders (SDIS, DDTM, ONF) and with the expertise of CNES.

In parallel and from the reference hazard established as a prerequisite, the 2nd objective aims at establishing an evolving hazard.Indeed, the combined effects of the worsening of the territorial context and the effects of climate change are perceptible on small time scales (a few years), making "classic" hazard studies rapidly obsolete, especially in interface sectors (combustible spaces/urbanised areas). This implies determining the input data for hazard modelling which could be updated annually or even biannually.

  • WP 2: Conjunctural Vulnerability

Using remote sensing, the aim is to study and improve operational vegetation indicators and hazard indices

In the South of France, the fire behaviour of vegetation is changing under the effect of climate change, making the current indicators insufficient for the definition of fire-fighting strategies, particularly during the summer period, but also in the early and late seasons. In particular, the Forest Weather Index (FWI) is an imperfect reflection of the evolution of fires over the past decades and during the season. Moreover, some local indicators, such as the measurements of vegetation water content (drought index) of the Hydric Network (2 sites per department in the Prométhée zone), do not allow the data to be spatialised on the scale of the territories of a department.

The contributions of remote sensing, following an assessment of the limitations of current indicators and the operational needs for improvements, should make it possible to make decision-making tools more reliable during the extended summer period. A dialogue will be established between the local and zonal levels. 

The work will be carried out in two stages:

- elaboration of an audois zoom on the relevance of vegetation drought indicators, prior to the reflections on the evolution of the models;

- use of the Aude region as an experimenter and demonstrator for the INRAe thesis work of Jorge-Castel Clavera "Analysis and modelling of the spatio-temporal dynamics of fires in the Mediterranean region: towards new danger indicators", to be conducted in 2023. These indices will be able to benefit from the indicator proposals of WP1 using Earth observation satellite images.

  • WP 3: IPCC climate projections and consequences for hazard development

As part of the update and complement to the studies of the Chatry 2010 report, Météo-France will produce re-analyses and future climate projections of meteorological indices and fire diagnostics on the latest RCP* scenarios, calculated from meteorological variables forced by a dozen different climate models.

Within the ALEOFEU project, Météo-France will produce local variations of the national scale diagnoses, and feedback/accompaniment on these products. Average variables will thus be available, but also an ensemblistic approach in order to better identify the uncertainty of the future hazard.

Similarly, in collaboration with INRAe, different series of meteorological fire indices will be used as inputs to the behavioural model in order to characterise the evolution of the hazard in a more complete manner, going beyond meteorological forcing alone. The aim will be to project the occurrence and size of fires under climate change scenarios, using existing indicators (FWI Forest Weather Index).

Météo-France will also participate in the support, provision and assistance in the use of the various climatic projections of these diagnoses in the form of graphs and departmental maps of the evolution of fire hazard.

*RCP: Representative Concentration Pathway, the 4 main representative profiles of greenhouse gas concentration evolution established by the IPCC.


Innovative contributions and logical links

Innovative contributions Aleofeu

Territory for experimentation

Aude (France) : The project will cover all the DFCI (forest defence against fire) forest areas in the Aude department. In some smaller areas, high spatial resolution imagery (Pléiades) will be used.

Territoire Aleofeu

Mapping of DFCI forest areas and plant formations - source: SDIS11, DDTM11, ONF, IGN



  • Pleiades (resolution 70 cm, sampled at 50 cm)
  • Copernicus Sentinel-2 (10m resolution)
  • Copernicus/Sentinel-1 (10m resolution)
  • Spot (including Spot World Heritage)
  • Other free satellite image datasets: Landsat, Modis


  • Météo France data and models on the DRIAS portal
  • Numerous territorial data sets: land use maps (OSO), population maps and densities, graphic parcel register (RPG), etc.
  • Copernicus services: C3S (Climate Change), EMS(Emergency) (RMS, RRM, EFAS), CAMS (Atmosphere), CLMS (Land)
  • Spatial data portals: PEPS, IR DataTerra (THEIA, AERIS, ...), etc.

Results – Final products

  • To provide local decision makers with an evolving forest fire hazard in a context of climate change (preventive and informative education);
  • Map of fire occurrence in the Aude and its recent evolution, including attribution of these evolutions to certain parameters;
  • Measurement of water stress in vegetation by complementing the current indicators to make them usable at a more relevant scale in the field (in terms of spatialization and frequency of update, more accurate estimation of risk levels);
  • Contribution to the estimation of fire propagation and to the analysis of danger indices allowing an adaptation of preventive measures (communication, regulation) and a decision aid for the dimensioning of the means of fight;
  • Dynamic maps allowing prioritization of control sectors (communal, infra-communal, urban patterns);
  • Proposal of vegetation analysis models according to IPCC scenarios in order to assess the level of risk and anticipate fire behaviour (by integrating criteria such as wind, soil moisture, hydric state of the different vegetation strata);
  • Diagnosis of the evolution of the meteorological fire hazard in past and future conditions (graphs and departmental maps): characterisation of indices, average exceedances.

Project news

  • 24/10/2022: "Forest fires and climate change: the Audois laboratory". Published in L'Indépendant on 24 October 2022, this two-page article explains particularly well the stakes and interests of the ALEOFEU project. Recalling that 62,000 hectares went up in smoke nationwide during the summer of 2022 alone, it emphasises the desire to be able to apply this methodology to other departments "which will have a front row seat to climate change". Read the article (in French)


Report of the interministerial mission "climate change and extension of areas susceptible to forest fires: Chatry Report" (in French)

Logo Aleofeu


By ticking this box, I acknowledge that I have read and accept the Legal Notice.
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.