IULIAN
Italian Universal Land Intelligence Analysis Network
The first Italian platform that lets you query Copernicus satellite data in natural language. No GIS or remote sensing expertise required.
CLIRA develops advanced Earth Observation and AI solutions to turn satellite data into detailed, accessible environmental information.
Mission
CLIRA was born with the goal of democratizing access to satellite analysis, making the power of Earth Observation available to organizations of all sizes.
We believe that satellite data — now freely accessible through European programs like Copernicus — should be operational tools in the hands of decision-makers: farmers, urban planners, infrastructure managers, and public authorities.
“We transform the complexity of satellite data into clear answers, understandable visualizations, and actionable insights — with no specialized technical expertise required.”
Vision
By 2030, every Italian public and private organization should be able to query satellite data as easily as using a search engine.
Building the bridge between the enormous potential of Copernicus and the real needs of the Italian and European market, starting from the local ecosystem.
Every analysis produced by CLIRA contributes to more informed decisions about territory, climate and natural resources, with concrete positive impact.
Satellite data and artificial intelligence at the service of the environment: eight thematic areas, one data-driven approach.
Precision agriculture based on vegetation indices, water stress, crop health monitoring, and yield forecasting. Optimization of agricultural inputs and insurance support.
Precision agriculture based on vegetation indices, water stress, crop health monitoring, and yield forecasting. Optimization of agricultural inputs and insurance support.
Monitoring of deforestation, biomass estimation, and forest health assessment through multi-temporal and multispectral analysis.
Heat island mapping, green space distribution monitoring, and vegetation cover analysis in urban environments. Support for local climate adaptation plans.
Estimation of carbon stocks and monitoring of forest and agricultural sinks. Support for emission offset strategies and corporate environmental reporting.
Analysis of urban expansion, soil sealing, and loss of agricultural and natural land. Support for urban planners, municipalities, and regions in controlling land use.
Monitoring of critical infrastructure, power grids, roads, and railways through multi-temporal analysis detecting changes, subsidence, or interference with protected natural areas.
Detection and analysis of extreme events: hailstorms, droughts, heat waves, floods, late frosts, wildfires, and desertification. Risk maps and time series for environmental emergency management.
Meso-scale river habitat modelling for fish communities. Integration of satellite data on morphology, flow regimes, and riparian vegetation to assess environmental suitability of watercourses.