Abstract
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 oil inventory. Many oil storage tanks leverage floating lids, which can be analyzed through imagery to detect changes in inventories. By providing granular and timely transparency into local oil inventory levels, such data can help traders predict where oil is needed the most or the least. As one of the primary drivers of shortterm 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, oil, oil inventory, oil trading, floating lids.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Wood, Matthew; Dunagan, Patrick; Clark, John; and Bohl, Kristina, "IMAGE ACQUISTION AND PROCESSING FOR PHYSICAL OIL TRADING", Technical Disclosure Commons, (August 24, 2016)
https://www.tdcommons.org/dpubs_series/251