Asset mapping
Industrial, solar, utility and infrastructure assets documented with geospatial context.
AI-Powered Drone Mapping & 3D Geospatial Intelligence
Alektra Mapping transforms real-world sites, structures, corridors, and assets into accurate digital intelligence. Using drone-based data acquisition, AI-assisted processing, advanced stitching software, and our proprietary mapping workflow, we deliver high-resolution orthomosaics, 3D models, digital twins, asset maps, inspection datasets, and geospatial documentation for smarter engineering, maintenance, preservation, and decision-making.
Professional positioning
Alektra Mapping is built for organizations that need accurate, visual, and actionable spatial intelligence. From industrial rooftops, substations, power lines, and solar plants to heritage structures, construction sites, terrain, and infrastructure corridors, we capture, process, and transform complex physical environments into reliable digital datasets.
Industrial, solar, utility and infrastructure assets documented with geospatial context.
A reliable visual baseline for future comparison, maintenance and lifecycle tracking.
Geotagged imagery, maps and visual records that support engineering decisions.
Power line and utility corridor mapping for visualization, clearance and documentation.
Geospatial processing
We use industry-leading AI-assisted mapping, stitching, reconstruction, and geospatial processing tools to convert raw drone imagery, LiDAR scans, and field data into accurate, usable deliverables. Our internal proprietary workflow helps improve data organization, asset tagging, reporting consistency, and project-specific visualization for engineering and inspection teams.
Advanced stitching and reconstruction workflows for high-resolution mapping outputs.
Organized asset references, visual evidence and project-specific tags.
Structured quality checks before reporting and delivery packaging.
Consistent outputs for engineering, inspection and management teams.
Photogrammetry vs LiDAR
Alektra Mapping offers both photogrammetry-based and LiDAR-based mapping depending on project objective, accuracy requirement, surface condition, budget, and deliverable type.
Photogrammetry uses overlapping high-resolution images captured from drones or cameras and processes them through specialized software to create orthomosaics, textured 3D models, 3D mesh, and visual site documentation.
LiDAR uses laser pulses to measure distances and generate dense 3D point clouds and elevation datasets. It is useful where geometry, elevation, vegetation penetration, and high-precision spatial measurement are more important than visual texture alone.
Photogrammetry and LiDAR are not competing technologies. For some projects, combining both can provide precise geometry and rich visual texture.
Visual matrix
A clear technical comparison helps select the right data capture method for the objective.
Overlapping high-resolution imagery
Laser pulse distance measurement
Orthomosaic, textured 3D mesh, visual model
Dense point cloud, elevation model, geometry dataset
Excellent color and surface texture
Requires additional processing or colorization
Good for many visual mapping projects
Strong for geometry and elevation analysis
Limited
Better than image-only capture
Higher dependency on lighting and shadows
Lower dependency on visible light
Generally more cost-effective
Higher equipment and processing cost
Visual documentation and presentation
Corridors, terrain, clearance and engineering analysis
Capabilities
Professional drone mapping and geospatial documentation services for renewable-energy, industrial, utility, heritage and construction environments.
High-resolution drone imagery processed into maps, 3D models and visual site documentation.
Dense point cloud and elevation datasets for geometry-focused mapping needs.
Georeferenced visual map outputs for planning, documentation and inspection.
Digital twin references and textured 3D models for asset visualization.
Factory, rooftop, substation and industrial site asset documentation.
Solar plant layouts, rooftop references and O&M-ready visual documentation.
Utility corridor and line mapping for visualization and clearance review.
Visual preservation records and 3D documentation for structures.
Recurring mapping for progress monitoring and comparison.
Roof, land, surface and terrain mapping for planning and design support.
Inspection datasets with spatial context and traceable imagery.
Structured project records, tagged assets and reporting consistency.
Deliverables
Final deliverables depend on selected mapping method, site condition, required accuracy, survey control, and project scope.
Use cases
Alektra Mapping supports engineering, inspection, preservation, operations and management teams with visual geospatial intelligence.
Layout, asset and visual documentation for solar plants.
Rooftop geometry and asset visualization for commercial sites.
Corridor references and visual inspection datasets.
Utility asset records with spatial and visual context.
3D documentation for preservation and future reference.
Repeatable site records for progress comparison.
Industrial site inventory and spatial documentation.
Terrain, surface and planning references.
Visual condition records after events or incidents.
Reference datasets for future lifecycle comparisons.
Mapping workflow
A structured workflow keeps capture, processing, validation and reporting aligned with project objectives.
Share the site, objective and desired deliverables.
Review area, method, access, safety and output needs.
Select photogrammetry, LiDAR or hybrid capture.
Plan routes, altitude, overlap and site safety requirements.
Capture imagery, LiDAR scans or hybrid datasets.
Process imagery, scans and reconstruction data.
Review completeness, consistency and project fit.
Package maps, models, reports and datasets.
Update digital twin references over time.
Service request
Tell us what needs to be mapped. Our team will review your objective, site type, preferred method and deliverables before recommending the right mapping approach.
FAQ
Useful details before requesting drone mapping, LiDAR or digital twin documentation.
Drone mapping captures aerial imagery or LiDAR data and processes it into maps, models, point clouds, datasets and visual documentation.
Photogrammetry builds maps and 3D models from overlapping images. LiDAR uses laser measurements to create dense point clouds and stronger geometry/elevation datasets.
It depends on the project objective, accuracy requirement, site condition, budget and deliverables. Alektra can recommend photogrammetry, LiDAR or a hybrid approach.
Yes. Solar PV plants, industrial rooftops and commercial rooftops are key mapping applications.
Yes. Corridor and utility mapping can support visualization, documentation and clearance-focused review.
Yes. Deliverables can include textured 3D models, digital twin references, asset maps and inspection-ready visual datasets.
Yes. Photogrammetry is especially useful for heritage, architectural and structure documentation where visual texture matters.
Deliverables depend on scope and may include orthomosaic maps, 3D models, point clouds, reports, digital twin references and downloadable datasets.
No. Photogrammetry is often sufficient for visual mapping. LiDAR is selected when geometry, elevation or vegetation-related requirements justify it.
Yes. Reporting can be tailored to project objective, inspection use, asset documentation or management needs.