PRODUCTS
LiDAR
Airborne LiDAR (Light Detection and Ranging) is a high-accuracy remote sensing technology used to capture three-dimensional geospatial data for engineering, mapping, and infrastructure monitoring applications.
OGL provides a range of LiDAR-derived data products, including classified point clouds, terrain models, and vector datasets, supporting applications across the energy, utilities, transportation, government, and environmental sectors.
Point density and resolution are tailored to project requirements, enabling applications from large-scale corridor mapping to high-resolution site analysis. Vertical accuracy typically ranges from approximately 4–10 cm RMSE, depending on flight specifications and project requirements.
Typical deliverables include LAS/LAZ (v1.2–1.4), GeoTIFF, SHP, and File Geodatabase formats. Additional formats can be provided upon request.
PRODUCTS
COLOURIZED LiDAR
Colourized LiDAR combines the geometric accuracy of LiDAR with the visual context of aerial imagery. RGB or RGBN values are assigned to each LiDAR return using co-registered aerial photography.
This enhances interpretation of terrain, infrastructure, and vegetation features within the point cloud.
LiDAR intensity values are also available and can support feature identification, surface analysis, and classification workflows.
Typical Applications
-
Infrastructure inspection
-
Urban modelling
-
Environmental monitoring
-
Asset inventory mapping
PRODUCTS
CLASSIFIED LiDAR
LiDAR point clouds are classified into ground, vegetation, and infrastructure feature classes to support terrain modelling and engineering analysis.
Workflows combine automated classification algorithms with manual quality control, ensuring consistent and reliable results across large datasets.
BARE EARTH CLASSIFICATION
Bare earth LiDAR represents the terrain surface after vegetation, buildings, and structures are removed.
Typical Applications
-
Terrain modelling
-
Flood modelling
-
Engineering design
-
Corridor planning
FULL FEATURE CLASSIFICATION
LiDAR datasets can be further classified into multiple feature classes representing vegetation and built infrastructure.
Typical Classes
-
Low Vegetation
-
Medium Vegetation
-
High Vegetation
-
Buildings
-
Other Permanent Man-Made Objects
PRODUCTS
TERRAIN MODELLING
LiDAR enables the creation of high-resolution terrain models used for engineering analysis, environmental studies, and infrastructure planning.
DIGITAL EARTH MODEL (DEM)
A bare earth terrain surface derived from ground-classified LiDAR points.
Typical deliverables include 1 m resolution raster grids suitable for:
-
Terrain analysis
-
Engineering design
-
Hydrological modelling
Format
GeoTIFF (32-bit floating point)
DIGITAL SURFACE MODEL (DSM)
Represents the top surface of all features, including vegetation and structures.
Commonly used for:
-
Line-of-sight analysis
-
Urban modelling
-
Infrastructure planning
Format
GeoTIFF (32-bit floating point)
CANOPY HEIGHT MODEL (CHM)​
Represents vegetation height and structure by calculating the difference between DSM and DEM.
Commonly used for:
-
Forest analysis
-
Habitat monitoring
-
Environmental studies
Format
GeoTIFF (32-bit floating point)
PRODUCTS
DERIVED VECTOR PRODUCTS
CONTOURS
Contours are derived from LiDAR-based terrain models and represent elevation at defined intervals.
Applications
-
Topographic mapping
-
Engineering design
-
Corridor planning
​
Typical Deliverables
-
0.25 m / 0.5 m / 1 m intervals
-
SHP / Geodatabase
_edited.jpg)
BREAKLINES
Breaklines are vector features used to preserve critical terrain characteristics such as ridges, edges, and hydrographic boundaries.
Applications
-
Terrain modelling accuracy improvement
-
Engineering design
-
Hydrological modelling