The TerraScan AI modules
TerraScan AI is a single platform for territorial risk monitoring. It analyses the same European data from four complementary perspectives: fire, air, vegetation and water. You switch on the modules you need; they all use the same data.
FireGrid AI
Monitors fire weather, dry vegetation, active fires and the exposure of people and infrastructure to wildfires.
Input data
- • Fire Weather Index (EFFIS)
- • Dry vegetation NDVI/NDMI (Sentinel-2)
- • VIIRS/MODIS active fires
- • Land surface temperature (Sentinel-3)
- • Exposed population and infrastructure
What it produces
- • Risk map by administrative unit
- • Alerts and rules (active fire, risk above 70/85)
- • Executive report for the mayor, county council or ISU
- • Funding justification (cameras, SVSU equipment)
Who it is for
- • Town halls
- • County councils
- • ISU / SVSU
- • Forest managers
AirGuard AI
Monitors pollution (PM2.5, PM10, ozone) and its impact on public health, especially during wildfire smoke and heatwaves.
Input data
- • PM2.5 and PM10 (OpenAQ)
- • Ozone O₃
- • Nitrogen dioxide NO₂
- • European AQI
What it produces
- • Air quality map by administrative unit
- • Public health notices
- • Report for the public health directorate (DSP)
- • Public information (schools, older people)
Who it is for
- • Town halls (public health)
- • DSP / public health directorates
- • Schools and hospitals
- • Citizens
RadarVerde AI
Assesses vegetation health, water stress, drought, air quality and climate pressure on the territory, using the same satellite data.
Input data
- • Vegetation vitality NDVI (Sentinel-2)
- • Water stress NDMI (Sentinel-2)
- • Drought (CEMS/C3S)
- • Air quality PM2.5 (OpenAQ)
- • Heat stress LST (Sentinel-3)
What it produces
- • Environmental condition map by administrative unit
- • Water and heat stress notices
- • State of the environment report
- • Indicators for ESG reporting and green funding
Who it is for
- • Environmental protection agencies (APM)
- • Parks and protected areas
- • Romanian Waters / forest districts
- • Agriculture
- • ESG reporting
AquaWatch AI
Assesses the risk of pluvial flooding (surface water excess) caused by forecast torrential rain on already saturated soil, relevant for every locality.
Input data
- • 3-day forecast rainfall (MET Norway)
- • Soil saturation
- • Recent 7-day rainfall
- • (planned: river discharge from EFAS/GloFAS)
What it produces
- • Flood risk map by administrative unit
- • Torrential rain alerts
- • Report for the local emergency committee (CLSU) and SVSU
- • Funding justification (drainage channels, river works)
Who it is for
- • Town halls
- • ISU / SVSU
- • Romanian Waters
- • Infrastructure operators