Spacenet dataset7/6/2023 ![]() “It’s a very challenging task” that has important applications for disaster response, monitoring population change and the United Nation’s Sustainable Development Goals, he added. “We’re tracking urban development explicitly at the footprint level,” Ryan Lewis, SpaceNet general manager and In-Q-Tel senior vice president, told SpaceNews. ![]() Increasingly, satellite constellations offer customers frequently updated imagery of various sites, prompting demand for machine learning and computer vision algorithms capable of highlighting changes in the geospatial datasets. In addition, if Planet wants to promote development of new methods to monitor change in its data, SpaceNet is “an amazing conduit for that,” he added. “SpaceNet is a precursor to open-sourcing geospatial data to the community,” Jonathan Evens, Planet machine learning and Basemaps product manager, told SpaceNews. Winning entries are scheduled to be announced in December at the virtual Neural Information Processing Systems conference.įor the challenge, Planet is supplying monthly imagery over a period of two years for more than 100 locations covering 40,000 square kilometers on six continents. SAN FRANCISCO – After four years and six competitions, SpaceNet, the nonprofit focused on geospatial applications for artificial intelligence, is conducting its first temporal challenge with new partner Planet.Ĭompetitors in SpaceNet 7 the Multi-Temporal Urban Development Challenge will have two months starting August 31st to devise change-detection algorithms to track building construction over time.
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