OmniSci has recently partnered with the Center for Nonproliferation Studies (CNS) and Planet to demonstrate how daily satellite imagery, machine learning for feature extraction, and interactive analytics can help make the world safer. OmniSci’s GPU database technology lets the CNS combine several factors into a suitability model considering roads and their relationships to terrain. CNS leveraged an amazing new machine learning product from Planet - a monthly road change dataset at 5 meter resolution. They combined this with absolute elevation, percent slope and topographic position. Since there are less than 20 known sites, CNS elected to use a “human in the loop” process to empower analysts to assess the parameters of known sites semi-manually, and then to search for similar sites across the full country. This allowed them to discover hundreds of potential new sites, which CNS plans to further explore and then monitor. Register for the Virtual Summit to learn more.
.svg)
