Need precise, high-quality geographic data to guide your projects?
At Siradel, we collect, model, and analyze 2D and 3D geospatial data from a variety of sources, including drones, satellites, and land surveys.
Using AI-powered analytics, we transform raw data into clear, actionable insights to optimize decision-making and strategic planning.
Ready-to-use geospatial data
- High-precision 2D & 3D data : Collected from drones, satellites, and field surveys, ensuring accuracy for your projects.
- 750+ urban datasets available : Pre-processed and ready for seamless integration into your workflows.
AI-Driven insights for smarter analysis
- Automated object recognition: Enabling ultra-precise inventory tracking and spatial analysis.
- Custom indicators and scenarios: Available via API or GIS-ready data layers
Tools to transform and optimize your data
- Data Fusion & Transformation – Gain a comprehensive, enriched view of your environment.
- Automated GIS Processing – Increase efficiency and streamline spatial analysis.
Industry-specific solutions
- 50+ Key Indicators – Designed to simplify complex decision-making.
- Specialized Tools – Supporting urban planning, infrastructure optimization, and risk management.
Cities & Regions
Urban heat island diagnostics
Identification of urban heat islands (UHIs) using key indicators such as temperature, naturalness gradient, sensitive populations, etc., to identify causes, associated risks, and prioritize actions.
Real Estate
Land deposits
Evaluation of available land deposits for building the city on the city (elevation, extension, requalification of wastelands) in compliance with local regulatory constraints (urban planning documents, strategic orientations, etc).
Discover the answers to the most common questions about geographical data and their numerous applications.
Need more information?
What is geodata?
Geographical data is information associated with a specific location on the Earth’s surface. It includes geographical coordinates (latitude, longitude), descriptions of places, map data, or elements describing the physical and human environment of a given location.
Thanks to technological advancements, geographical data can now be collected in real-time and integrated into geographic information systems (GIS) to visualize and interpret spatial phenomena accurately.
Why geodata is important?
Geographical data plays a crucial role in territorial analysis, natural resource management, cartography, and geointelligence. By collecting and analyzing precise data, it helps improve decision-making in various fields such as geointelligence, urban planning, precision agriculture, the energy sector, insurance, and climate change adaptation
What are the applications of geographic data in the public and private sectors?
In the public sector, geographic data, combined with GeoAI (Geospatial Artificial Intelligence) and visualization platforms, enable the modeling of the impacts of urban development on the planet and the population, better infrastructure management (roads, water networks), natural disaster prevention (floods, wildfires, earthquakes), and the monitoring of climate change effects to improve adaptation strategies.
In the private sector, their use is diverse and beneficial across many industries. Energy and telecommunications companies leverage them to plan and manage their networks; insurance companies use them to assess risks, anticipate claims, and adjust premiums based on exposure zones; precision agriculture relies on them to enhance yields through soil, water, and climate condition analysis. They thus support strategic decision-making based on reliable territorial analyses.
How is Geographic Data Collected?
Geographic data is collected through various technologies. Satellites provide large-scale information on terrain, vegetation, and land use. Drones capture high-precision data at a local scale, making them ideal for topographic surveys or inspecting difficult terrains. Ground-based sensors measure parameters such as temperature and humidity. Lastly, manual surveys and traditional cartographic methods complement data collection. These combined sources generate accurate and usable data for diverse analyses.
What Are the Steps in Geographic Data Processing?
The processing of geographic data follows several key steps after collection to ensure quality and effective use. First, the data is cleaned to correct errors and harmonized to make different sources compatible. Once consolidated, it is analyzed using Geographic Information System (GIS) software to extract relevant insights. Finally, the data is visualized in the form of maps, graphs, or interactive tables to facilitate interpretation based on various applications, such as urban planning, climate resilience, risk management, and more.