  This work shows a procedural method for extracting object heights from LiDAR
and aerial imagery. We discuss how to get heights and the future of LiDAR and
imagery processing. SOTA object segmentation allows us to take get object
heights with no deep learning background. Engineers will be keeping track of
world data across generations and reprocessing them. They will be using older
procedural methods like this paper and newer ones discussed here. SOTA methods
are going beyond analysis and into generative AI. We cover both a procedural
methodology and the newer ones performed with language models. These include
point cloud, imagery and text encoding allowing for spatially aware AI.
