PRODUCTS
IMAGERY
Aerial imagery provides high-resolution visual datasets used for mapping, infrastructure monitoring, environmental analysis, and asset inventory.
OGL captures survey-grade aerial imagery using large-format mapping cameras integrated with GNSS/IMU positioning systems, enabling precise georeferencing of each image.
Typical deliverables include 4-band RGBN (Red, Green, Blue, Near-Infrared) imagery with ground sample distances (GSD) ranging from approximately 5 cm to 50 cm, depending on project requirements.
Imagery datasets are processed through photogrammetric workflows to ensure geometric accuracy, radiometric consistency, and reliable integration with LiDAR datasets.
PRODUCTS
STEREO IMAGERY
Stereo imagery consists of overlapping aerial photographs that enable three-dimensional photogrammetric interpretation.
These datasets support accurate feature extraction and terrain analysis within 3D stereo environments.
Applications
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Feature digitization
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Terrain modelling
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Infrastructure mapping
PRODUCTS
ORTHOPHOTO & MOSAIC
Orthophotos are geometrically corrected aerial images that remove distortions caused by terrain relief and sensor perspective.
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Individual images are combined using optimized seamlines to produce seamless orthophoto mosaics across large project areas.
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Typical Deliverables
• 4-band (RGBN) orthophoto mosaics
• GeoTIFF format
Typical GSD
• 5–10 cm (urban)
• 10–40 cm (regional)
Applications
• Mapping and planning
• Infrastructure analysis
• Environmental monitoring
TRUE ORTHOPHOTO
True orthophotos are generated using digital surface models (DSM) to remove building lean and perspective distortions present in conventional orthophotos.
This ensures that buildings and vertical structures are represented in their true planimetric position, improving mapping accuracy in dense urban environments.
Applications
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Urban planning
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Infrastructure mapping
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City modelling
PRODUCTS
NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI)
Normalized Difference Vegetation Index (NDVI) imagery is derived from multi-band aerial imagery and is used to assess vegetation health and density.
By analyzing reflectance differences between near-infrared (NIR) and red spectral bands, NDVI highlights active vegetation and supports change detection over time.
Applications
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Vegetation monitoring
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Environmental and habitat analysis
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Agricultural monitoring
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Utility corridor vegetation management
