Photogrammetry and 3D Modeling

We process photographic sets into orthomosaics and 3D reconstructions when the source data are suitable.

• Orthophoto and 3D Model from Client-Supplied Photos

  Aerial photographs are available but no processed cartographic product exists.

  Expected deliverables: Georeferenced orthomosaic in GeoTIFF or COG with a GCP report; densified photogrammetric point cloud in LAZ with statistics; derived digital surface or terrain model in GeoTIFF (DSM/DTM) with quality flags; textured photogrammetric mesh in OBJ/MTL with textures and CRS/origin information.

• Photogrammetric Image Set: Preparation and Quality Review

  Determine whether supplied photos meet the conditions for reconstruction.

  Expected deliverables: Report on image sizes, geotags, potential coverage and ingestion blockers.

We filter, classify and transform LiDAR measurements into point clouds and derived models.

• LiDAR-Derived Terrain and Surfaces

  A point cloud lacks classification and an elevation model.

  Expected deliverables: Classified ground-point cloud in LAS/LAZ with its processing configuration in JSON; digital terrain model and density raster in GeoTIFF; per-cell LiDAR density statistics in GeoTIFF or CSV.

• Preliminary Classification of Ground and Non-Ground Points

  Separate ground points from other returns for later calculations.

  Expected deliverables: Classified point cloud, classification statistics and review sample.

• Point Cloud Density and Classification Map

  Find areas of a scan with missing points or inconsistent classes.

  Expected deliverables: Class-density raster/layer and coverage restriction documentation.

We organize, clean, crop and compare 3D point clouds from surveys or reconstructions.

• 3D Geometric Comparison Between Two States

  Detect changes in scanned surfaces.

  Expected deliverables: 3D point cloud showing distances to a reference state in LAS/LAZ with CSV statistics; 3D elevation-difference map in GeoTIFF or GPKG with a documented threshold; technical geometric-stability report in MD or PDF.

• Point Cloud Optimization and Clipping

  Very large files are difficult to share and use.

  Expected deliverables: Prepared point cloud in COPC.laz with a JSON processing pipeline; partial spatial-read plan in JSON or MD with LAZ samples.

• Controlled Noise Filtering in LAS/LAZ Point Clouds

  Identify point-cloud artifacts that affect visualization and file conversion.

  Expected deliverables: Filtered point cloud, removed-points layer and parameter report.

• Spatial Reprojection of a Point Cloud

  The point cloud uses a different reference system and must join another dataset.

  Expected deliverables: Transformed point cloud, WKT/CRS and extent/point-sample checks.

We create 3D representations of terrain, buildings and settings from available geometric data.

• 3D Visualization of Terrain and Surroundings

  Make complex terrain understandable in a presentation.

  Expected deliverables: Locally referenced 3D terrain model in glTF or OBJ with transformation data in JSON; rendered 3D terrain image in PNG or TIFF with metadata; 3D control-point table in CSV or MD.

• 3D Scene with Extruded Vector Features

  Communicate indicative heights and volumes of existing features.

  Expected deliverables: 3D project/scene, screenshots and per-feature applied-height table.

• Review of a Terrain Model in a 3D Viewer

  Review a third-party 3D scene and produce images with controlled scale and framing.

  Expected deliverables: Visualization project, screenshots, legend and camera/perspective issue log.

We prepare, view and transform digital meshes and surfaces for analysis, display and exchange.

• Indicative Visualization of Mesh Data

  Represent numerical mesh values and contours.

  Expected deliverables: Mesh map/view with scalar fields or contours and source-simulation notes.

• Preliminary Contour Extraction from Mesh Data

  Create contour lines or map isolines from a numerical mesh.

  Expected deliverables: Vector contours, extraction parameters and verification view.

We convert and organize 3D models for use across applications while checking file compatibility.

• Export of Derived Geometry to STL

  Produce an STL mesh as a non-certified exchange file.

  Expected deliverables: Derived STL, preview, assumed units and basic geometry check.

• Normalization of glTF 3D Assets and GIS Geometry

  Prepare 3D geometry for an informative GIS representation.

  Expected deliverables: Converted 3D features/assets, inventory and lost-material report.