The FIPAS PLATFORM is an advanced ecosystem integrating artificial intelligence, machine learning and a geospatial analysis system, designed for the prediction and early warning of forest fires. Its aim is to provide the organisations responsible for fire prevention and management with tools for fast, accurate and coordinated decision-making.
A composite metric that assesses fire risk in 1 km² cells, providing both real-time values and 7-day projections. The calculation is based on the weighted combination of four predictive models:
Climate model
Current and forecast weather factors, including temperature, humidity, wind speed and direction.
Natural-causes model
Includes lightning detection and risk estimation associated with natural ignitions, using Linet data and the Fuel Water Index (FWI).
Human-intervention model
Considers proximity to infrastructure such as roads, railway lines, trails, power lines and recreational areas, with data obtained from structured geospatial sources.
Socioeconomic model
Human and economic factors associated with activity in the area, with potential impact on ignition probability.
The system not only calculates a global index, but also provides the
individual prediction of each submodel. It also estimates the potential number of wildfires (IIFF) for
each zone and period.
The main data sources used include Sentinel satellites (ESA), MODIS
and VIIRS sensors (NASA/NOAA), Google Earth Engine with thermal-anomaly and
hotspot detection products, as well as weather data from AEMET and OpenMeteo. In addition, local
ground measurements are integrated and, soon, data provided by a structured
citizen-collaboration application.
The validation of events and detections is carried out through spatial and temporal fusion between the
various sources, confirming fires only if there is a match across two or more detection
channels.
As part of its technological evolution, FIPAS is incorporating the use of HAPS stratospheric
platforms (High Altitude Pseudo-Satellites) to improve detection coverage and
enable, in collaboration with technology partners, the replication of mobile-phone signal from
space. This development aims to strengthen both remote-sensor connectivity and emergency
communications in remote areas.
FIPAS Main Remote-Sensing Dashboard
FIPAS Event Data Dashboard
Satellite image of the event up to 30 cm
Virtual Goggles from the Advanced Command Post (PMA)