Satellite imagery selection, acquisition and processing
From data selection to your custom automated processing pipeline
DEM, DSM development, topographical data processing
High-accuracy 3D terrain models for your most critical projects
Custom GIS solutions
Custom-built geospatial software to solve your unique business challenges
Collection and processing of the geodetical survey results
From raw field data to accurate, ready-to-use geospatial results
Development of custom case of UAV application for surveying
Solving your toughest survey challenges with custom-built UAV solutions
Satellite imagery selection, acquisition and processing
- Comparative analysis of the available satellite imagery according to the client’s needs
- Research of local free of charge satellite and aerial imagery data sources
- Automated acquisition of the imagery updates
- Elaboration and development of the data processing pipeline
Approaches
- Client Requirement Assessment
- Multi-Source Data Comparison
- Automated Metadata Analysis
- Modular Pipeline Design
- Cloud-Native Processing
- AI & Machine Learning Integration
- Automated Quality Control
Data Types
- Optical Satellite Imagery (Panchromatic, Multispectral, Hyperspectral)
- SAR (Synthetic Aperture Radar) Imagery
- Thermal & Infrared Satellite Data
- Digital Elevation Models (DEM/DSM)
- Cloud Cover & Atmospheric Data
Technologies
- GDAL/OGR – Geospatial data processing
- Rasterio – Raster image analysis
- Sentinel Hub Python API – Querying Sentinel-2 & Landsat imagery
- OpenCV – Image processing
- Scikit-learn, TensorFlow – AI-based data classification
- EarthPy – Earth observation data handling
- Pyproj – Spatial transformations
- Dask/Spark – Large-scale geospatial data processing.
Integration Experience
- Integration into GIS platforms (QGIS, ArcGIS)
- Cloud storage (AWS S3, Google Cloud Storage)
- Enterprise GIS systems for decision support
DEM, DSM development, topographical data processing
- DEM & DSM Generation from Remote Sensing Data
- LiDAR-Based Topographical Data Processing
- Topographic Map Generation & Contour Extraction
- Orthophoto & 3D Surface Model Generation
- Hydrological & Floodplain Modeling
- Urban & Infrastructure Planning with DSM Analysis
- Watershed Analysis: Using DEM to delineate water flow.
- Flood Simulation: Hydrodynamic modeling based on rainfall/runoff data.
Approaches
- Photogrammetric Processing: Stereo image analysis from satellite, UAV, or aerial imagery to derive elevation models.
- SAR Interferometry (InSAR): Radar-based elevation mapping using phase differences.
- Hybrid Models: Combining LiDAR, photogrammetry, and radar data for improved accuracy.
- DTM Extraction: Removing vegetation and buildings for bare-earth models.
- Breakline Detection: Identifying natural and man-made terrain changes.
- Feature Extraction: Roads, rivers, buildings, and vegetation mapping.
- DEM hydrological corrections (depression filling, breach detection)
- Flow accumulation and watershed delineation
- Rainfall-runoff modeling
- Flood simulation based on historical and real-time data
- Shadow and solar exposure analysis
- Urban heat island analysis using surface elevation and land cover data
Data Types
- Raster Data: GeoTIFF (DEM/DSM), ASCII Grid, HGT (SRTM data).
- Point Cloud Data: LAS/LAZ (LiDAR format).
- Vector Data: Shapefiles (for elevation contour lines).
- Metadata: Accuracy reports, georeferencing details.
- Vector Data: Shapefiles, DXF for extracted features.
Technologies
- GDAL/OGR: Raster and vector data processing.
- PDAL: Point cloud data processing.
- OpenCV: Image processing for photogrammetry.
- Mapnik/Leaflet.js: Cartographic rendering.
- Matplotlib (Python): Contour generation.
- TopoJSON/D3.js: Web-based interactive mapping.
- HEC-RAS: Flood modeling.
- TauDEM: Hydrological terrain analysis.
- CityJSON/CityGML: 3D urban modeling.
Custom GIS solutions
- GIS-Based Land Surveying & Mapping Solutions
- AI-Powered Feature Extraction & Automated Mapping
- UAV-Based Surveying & GIS Data Processing Solutions
- GIS-Based Utility & Infrastructure Surveying
- GIS-Powered Land Administration & Cadastral Solutions
- 3D GIS & Digital Twin Development
- Environmental GIS Solutions
- Mobile GIS Surveying Apps
- Integration of GIS with BIM
Approaches
- High-Precision GNSS & RTK/PPK for centimeter-level accuracy.
- LiDAR & Photogrammetry-based terrain modeling.
- Automated georeferencing & orthorectification of aerial/satellite images.
- AI-powered parcel boundary detection for cadastral mapping.
- Photogrammetric processing of UAV imagery
- LiDAR & GPR for underground utility detection.
- AI-based defect detection for roads & pipelines.
- IoT-enabled real-time monitoring of assets.
- Automated parcel validation with AI.
- LiDAR & BIM-based city modeling.
- AI-based deforestation & flood risk analysis.
- Hydrological modeling using DEMs.
Data Types
- Raster: Satellite images, aerial/UAV orthomosaics, DEMs, DTMs.
- Vector: Shapefiles (SHP), GeoJSON, KML (land parcels, boundaries, roads).
- Survey Data: GNSS logs, total station points, field notes.
- Point Clouds (LAS, LAZ) for elevation & structure mapping.
- Cadastral maps (SHP, GDB).
- Land ownership records (JSON, XML).
- 3D mesh models (OBJ, FBX, glTF).
- BIM models (IFC).
- Climate data (NetCDF, GRIB).
Technologies
- GDAL/OGR (Geospatial data processing).
- QGIS/ArcGIS API for visualization & analysis.
- PostGIS (Geospatial database storage).
- Pyproj, Shapely (Coordinate transformations & geometry processing).
- PDAL (LiDAR point cloud processing).
- Rasterio, Fiona (Raster & vector processing).
- OpenDroneMap (Open-source UAV data processing).
- DroneKit/PX4 for UAV mission planning.
- FME (Geospatial data conversion).
- InfraWorks/Bentley OpenUtilities (GIS-integrated utility planning).
- Land Information System (LIS) APIs.
- CesiumJS (3D GIS visualization).
- Unity/Unreal Engine for digital twin simulation.
Integration Experience
- TMS & WMS layers for real-time map overlays.
- Survey data uploading to cloud GIS platforms (ArcGIS Online, Google Earth Engine).
- Integration with legal cadastre databases for land ownership verification.
- SCADA systems for real-time infrastructure monitoring.
Collection and processing of the geodetic survey results
- GNSS & Total Station Data Processing and Adjustment
- LiDAR Point Cloud Processing
- Photogrammetric Processing & Orthophoto Generation
- GIS-Based Survey Data Management & Visualization
- Digital Terrain & Surface Model Generation
- Survey Data Quality Control & Accuracy Assessment
- CAD & BIM Integration for Survey Data
- AI-Powered Change Detection & Monitoring
Approaches
- GNSS baseline processing using static, RTK, and PPK techniques.
- Coordinate transformation using geodetic datum and projections.
- LiDAR noise filtering (outlier removal, statistical denoising).
- Point cloud classification (ground, vegetation, buildings).
- Surface reconstruction (TIN/mesh models).
- Feature extraction (curb lines, road markings, utility poles).
- Structure-from-Motion (SfM) for 3D reconstruction.
- Image rectification and bundle adjustment for accuracy.
- Multi-view stereo (MVS) for dense point cloud generation.
- Orthorectification using digital terrain models (DTM).
- Spatial database management for survey data storage.
- Real-time data updates and geospatial analysis.
Data Types
- Raw GNSS data: RINEX, RTCM, NMEA
- Total station data: CSV, DXF, XML
- Survey metadata: GeoJSON, SHP
- Coordinate reference systems: EPSG codes
- Point cloud formats: LAS, LAZ, PLY, E57
- Sensor data: IMU, GPS, LiDAR scan parameters
- 3D mesh formats: OBJ, STL
- Image formats: TIFF, JPEG, RAW
- Vector: SHP, GeoJSON, KML
- Geospatial databases: PostGIS, SpatiaLite
Technologies
- RTKLIB (C/C++) – GNSS positioning and RTK/PPK processing.
- GDAL/PROJ (C/C++) – Geodetic transformations.
- pyproj (Python) – Coordinate reference system conversions.
- Least Squares Adjustment (LSA) in NumPy/SciPy (Python)
- PDAL (C++) – LiDAR point cloud processing.
- PCL (C++) – Point cloud feature extraction.
- Open3D (Python/C++) – 3D visualization & point cloud processing.
- LAStools (C++) – Efficient LiDAR data handling.
- OpenMVG/OpenMVS (C++) – SfM and MVS processing.
- COLMAP (C++) – 3D reconstruction.
- Leaflet.js (JavaScript) – Web mapping.
- OpenLayers (JavaScript) – GIS visualization.
- GeoPandas (Python) – Geospatial data processing.
Development of custom applications for UAV surveying
- Surveying UAV Mission Planning & Automation
- Real-Time UAV Data Transmission & Cloud Storage
- Custom Photogrammetry & 3D Mapping Software
- UAV LiDAR Data Processing & Analytics
- UAV Surveying Data Fusion & GIS Integration
- Underground UAV Surveying Applications
Approaches
- AI-powered autonomous flight path generation based on GIS data and terrain models.
- BVLOS (Beyond Visual Line of Sight) support using 5G/4G/LTE or satellite connectivity.
- 3D mission planning & terrain-aware flight control (DTED, DSM, DEM integration).
- Real-time mission reconfiguration based on weather, wind speed, and GNSS quality.
- Real-time video streaming using adaptive bitrate encoding.
- 5G/LTE/Wi-Fi/LoRaWAN for data transmission in remote areas.
- Secure data storage using cloud-based object storage (AWS S3, Azure Blob).
- AI-based feature matching & stitching for improved orthomosaic generation.
- Multi-view stereo (MVS) & structure from motion (SfM) for 3D reconstruction.
- Parallel processing using GPUs for faster computation.
- Automated ground control point (GCP) detection for high accuracy.
- AI-powered automatic classification of ground, vegetation, and structures.
- Point cloud fusion with photogrammetry for enhanced accuracy.
- Voxel-based noise filtering & compression for efficient storage.
- SLAM-based real-time 3D mapping for GPS-denied environments.
- Acoustic/LiDAR/thermal sensing for underground structure analysis.
Data Types
- Geospatial data: DEM, DSM, DTED, CAD
- Mission planning files: KML, KMZ, GPX
- Flight telemetry data: MAVLink logs, RTK corrections, IMU data
- Obstacle data: 3D point clouds, LiDAR scans
- Weather & GNSS data: METAR/TAF reports, SBAS corrections
- High-resolution images & video: JPEG, PNG, RAW, MP4
- Processed data: GeoTIFF (orthomosaics), LAS/LAZ (point clouds)
- Streaming formats: RTSP, WebRTC, H.265/H.264
- Point clouds: LAS, LAZ, PLY
- Orthomosaics & elevation models: GeoTIFF, DEM, DSM
Technologies
- DroneKit / MAVSDK – UAV control & telemetry (ArduPilot, PX4).
- Google OR-Tools / Pyomo – Path optimization algorithms.
- QGIS / GDAL – Geospatial data handling & visualization.
- FFmpeg / GStreamer – Video streaming & encoding.
- ZMQ / Protobuf / WebSockets – Low-latency data transfer.
- Open3D / Meshlab – 3D visualization.
- RTAB-Map / ORB-SLAM3 – SLAM processing.