Abstract: A system and method for reducing pipe failure risk. The method may comprise receiving an image depicting an overhead view of an area and a set of pipe data indicating characteristics for an underground pipe that is located within the area; receiving a set of geospatial data for a geographic region in which the area is located; segmenting the set of pipe data and the set of geospatial data for the geographic region into a plurality of segments to generate a feature vector, each of the plurality of segments corresponding to a separate portion of the underground pipe; executing a machine learning model using the feature vector to generate failure likelihood data for the separate portions of the underground pipe; determining visual indicators that correspond to the generated failure likelihood data for the separate portions of the underground pipe; and generating an overlay from the visual indicators.

Abstract: A system and method for automated forest inventory mapping. The method may include receiving an image depicting an overhead view of a wooded area, the image comprising a plurality of pixels; receiving a set of climate data for a geographic region in which the wooded area is located; receiving a point cloud of a digital surface model of the wooded area; concatenating data corresponding to the plurality of pixels of the image, the set of climate data, and the point cloud into a feature vector; executing a machine learning model using the feature vector to generate timber data for each of the plurality of pixels of the image; and generating an interactive overlay from the timber data, the interactive overlay comprising the generated timber data for each of the plurality of pixels of the image.