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Lidar Processing for Machine Learning
This talk explains how lidar point clouds are processed into digital datasets for machine learning, enabling surface and subsurface Earth analysis through combined model predictions.
Lidar is a pulsed laser scan of the surface of the Earth. Billions of points contain accurate X,Y and Z coordinates. This dense dataset can be used to build digital elevation models, hill shaded images, slope angles and flow accumulation models. This talk will describe and show how the lidar point cloud is downloaded, processed and interpreted into a digital format that can be used in machine learning algorithms. The ultimate goal will be to combine the results of many machine learning models in LLM’s to predict the nature and fabric of the sub surface.