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Register in advance for this webinar: https://stanford.zoom.us/webinar/register/4216104944290/WN_KitJ_4kpTQGnLCvVgmJmBA
About the Event:
Much of the imagery and remote sensing analysis in the Open Source Community pertains to North Korea’s nuclear weapons pathway and military capability. However, many questions remain regarding economic and agricultural health in a nation known for denial of access to outside observation. But by applying emerging analytical and processing technology of satellite imagery and data, we can address the challenge of examining economic and environmental patterns in the North.
Machine Learning technology has been used to analyze rudimentary objects like roads or buildings on satellite imagery for years, but has yet to be successfully employed to better understand nuanced patterns of life. In our partnership with the analytics company Orbital Insight, we have undertaken a project of counting thousands of objects in satellite images taken over the past five years to uncover North Korea’s trade relationship with China.
This project includes counting number of trucks at each side of the Sino-Korean Friendship Bridge as a measure of trade activity between North Korea and China. By applying artificial intelligence to more than 300 satellite images, we observed fluctuations of truck counts, which peak during the month of November. A significant drop in the truck counts during the year of 2020 is noticed as a result of restricted traffic from the global pandemic, although as much as 30 trucks were observed in the month of June on both sides of the border. The project demonstrates the utilities of machine learning in analyzing emerging datasets. Careful monitoring of trade between the two states can aid in better understanding the China-North Korea economic relationship and how it evolves over time.
CISAC is also partnering with international organizations and geospatial systems specialists to apply data derived from public space mapping systems to better understand macro-environmental, agricultural, and water security trends over the past twenty years in North Korea. For decades, scientists of every discipline have been analyzing remotely-sensed images and data sets to extract otherwise-imperceptible insight pertaining to broad aspects of environmental health including coastal erosion, deforestation, land subsidence, and global thermal changes. But because of a post-war technology vacuum and broadly-applied sanctions against space-derived information, North Korea has never had access to this data or the advanced software and data storage architecture necessary to support it. The potential for direct collaboration with the North on environmental analysis may enhance North Korea’s ability to mitigate its own agricultural risk and potentially facilitate informal international collaboration.
About the Speaker: Allison Puccioni has been an imagery analyst for over 25 years, working within the military, tech, media, and academic communities. After honorably serving in the US Army as an Imagery Analyst from 1991 - 1997, Allison continued the tradecraft as a civilian augmentee to US and NATO operations in the Kosovo airstrike campaign, and as a Senior Analyst and Mission Planner for Naval Special Warfare Group One. After earning her Master’s Degree in International Policy, Allison established the commercial satellite imagery analysis capability for the British publication company Jane's. In 2015, Allison joined Google to assist with the establishment of applications for its commercial small-satellites. Today, Allison is the Principal and Founder of Armillary Services, providing insight on commercial imaging satellites and associated analytics to the governments, nongovernmental organizations, and the commercial sector. Concurrently, Allison manages the multi-sensor imagery analysis team at Stanford University's Center for International Security and Cooperation.