I am considering the viability of using AI in conjunction with either LIDAR based Digital Elevation Models or Object based image analysis of Satellite Imagery to predictively locate Inuit archaeological features in the Arctic such as Caches, Tent Rings, and Sod houses. These features are small in size and highly variable in shape, but might potentially be identifiable with high resolution image models? My research so far has identified several publicly available sources of multi-spectrum satellite imagery (resolution ranges 1m, 10m, 15m, 30m, 100m+). There are also some examples of Actic Digital Elevation Models with 2m resolution. I am looking for examples where these technologies may have been used to find Archaeological features or other irregular objects that might range from 2-3 meters in diameter to roughly 100-150 ft2 in area size ?