Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation. Results obtained via image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the Earth are used to detect coal inventory. Many coal terminals and mines store inventory in open-air facilities, which can be analyzed through imagery to detect changes in inventories, such as by determining angles of coal stockpiles. By providing granular and timely transparency into local coal inventory levels, such data can help traders predict where coal is needed the most or the least. As one of the primary drivers of short-term price fluctuations, inventory level transparency can increase profitable trades and reduce unprofitable trades. Keywords associated with the present disclosure include: image acquisition, satellite imagery drone imagery, coal, coal inventory, coal trading, coal stockpile angle.
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Wood, Matthew; Dunagan, Patrick; Clark, John; and Bohl, Kristina, "IMAGE ACQUISTION AND PROCESSING FOR PHYSICAL COAL TRADING", Technical Disclosure Commons, (August 24, 2016)