Transform raw LiDAR point clouds and drone photogrammetry into production-grade Digital Elevation Models. Derive slope, aspect, and flood inundation surfaces from 1 cm accurate terrain data — delivered as Cloud-Optimised GeoTIFF over OGC WCS 2.0.
Use cases
High-accuracy elevation models power a wide range of spatial analysis workflows — built into the platform, no custom scripting required.
Derive hydrologically conditioned DEMs for catchment delineation, flow direction analysis, and flood inundation mapping. Integrate with rainfall runoff models to produce scenario-based inundation extents at any ARI.
Generate slope and aspect rasters, cut/fill volume surfaces, and sightline analyses to support road alignments, pipeline corridors, and civil engineering feasibility studies.
Produce topographic wetness indices, canopy height models, and erosion risk surfaces to support biodiversity assessment, offset mapping, and rehabilitation planning.
Every step is automated, cloud-native, and fully auditable — from first ingest to final COG delivery.
LiDAR LAS 1.4 / LAZ point clouds and drone photogrammetry DSMs uploaded via REST API, bulk S3 transfer, or direct SFTP. Supports multi-flight tile sets and flight-line mosaics.
Automated ground point classification using Progressive Morphological Filter (PMF) and Cloth Simulation Filter (CSF). Manual override classes preserved from pre-classified source data.
Inverse Distance Weighting (IDW) or Kriging interpolation across the ground point set. Void detection and filling using TIN interpolation for gaps in source coverage.
Automated generation of slope (degrees or percent), aspect, hillshade (configurable sun angle), contours at any interval, and Topographic Wetness Index — all cloud-native parallel jobs.
Output packaged as Cloud-Optimised GeoTIFF (COG) with internal overviews. Served via OGC WCS 2.0, REST tile API (XYZ/TMS), and optional bulk export to S3 or Azure Blob.
Technical specs
Every parameter tuned for production geospatial workflows — from sub-metre urban surveys to national-coverage terrain models.
| Attribute | Specification |
|---|---|
| Vertical accuracy | 1 cm RMSE from calibrated airborne LiDAR |
| Horizontal resolution | Up to 0.1 m (point-cloud density dependent) |
| Input formats | LAS 1.4, LAZ, GeoTIFF DSM, ASC, XYZ |
| Output formats | COG, GeoTIFF, ASC, XYZ point grid |
| Projections | Any EPSG — reprojected on-the-fly at request time |
| Processing | Cloud-native parallel tiling; no data-size limits |
| Delivery | OGC WCS 2.0, REST XYZ tile API, bulk S3 export |
Talk to a solutions engineer about your terrain dataset, or explore pricing for cloud DEM processing and WCS delivery at any scale.