Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale.

Abstract: Disclosed herein is a vertical surface weed barrier structure that is attachable onto any upright vertical surface and functions as a deterrent for the prevention of vegetation and/or weed growth adjacent thereto. More particularly the invention pertains to a structure formed from three interconnected outwardly projecting tabs. The structure is of simple construction, can be easily installed in numerous variable positions, and includes additional optional features of engineering choice.