Light Detection & Ranging (LiDAR) mapping

Workflow for an Airborne Archaeological Survey for a Planned Road Construction

-collect remote sensing data

• LiDAR, 3D topography and subsurface structures
• Multispectral/Hyoerspectral, vegetation stress and soil composition
• Thermal imaging, temperature variations indicating buried features
• Hi-res RGB photography, visual context

-data processing with AI tools

• using TensorFlow and proprietary modules to process imagery
• training models like Mask R-CNN and U-Net for feature detection
• creating masks for labeled features

Selecting the right tools is vital for efficient and effective archaeological and architectural surveying.

Combining LiDAR and Photogrammetry remote sensing techniques, backed by Artificial Intelligence pattern recognition, enables quick adjustments and batch processing, ideal for managing large imagery collections.

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