LIDAR Technology
Solar Panel Analysis with LIDAR Satellite Images
LIDAR (Light Detection and Ranging) technology extracts surface details in three dimensions from high-resolution satellite and aerial images. This enables precise detection of the location, size, and orientation of solar panels on roofs or open areas.
This method is highly effective for evaluating energy production potential, planning maintenance of existing solar panels, and optimizing solar energy usage in urban planning.
Accurate panel location with 3D surface mapping
Energy production potential estimation
Data support for urban and environmental planning
Wind Energy
Wind Turbine Detection and Analysis
The location, size, and performance status of wind turbines can be analyzed from satellite and aerial images. By obtaining environmental obstacles, wind flow direction, and turbine placement data with LIDAR data, energy production is optimized.
This increases the efficiency of renewable energy investments and enables more accurate maintenance planning.
Turbine location and height analysis
Wind direction and potential energy estimation
Maintenance and operation planning
Artificial Intelligence
AI-Powered Point Cloud Cleaning
Point clouds obtained from LIDAR and photogrammetry data are automatically cleaned and optimized using artificial intelligence algorithms. Noise, anomalies, and unwanted data are detected through intelligent filtering techniques to create high-quality 3D models.
This technology accelerates the processing of large-scale point cloud data, minimizes manual cleaning processes, and enables more accurate Geographic Information System (GIS) data acquisition.
Automatic noise and anomaly detection
Intelligent filtering and data optimization
High-accuracy 3D model generation
Remote Sensing
GIS Remote Sensing and Analysis
Images obtained from satellite and aerial platforms are processed using spectral analysis and machine learning techniques. This enables remote detection and analysis of land use, vegetation, water resources, and environmental changes.
Remote sensing technology allows for rapid and efficient monitoring of large geographical areas, early detection of natural disasters, and provides critical data for sustainable development planning.
Spectral analysis and image processing
Land use and vegetation mapping
Natural disaster monitoring and early warning systems