SAN FRANCISCO, August 21, 2019 -- Capella Space, an information services company that provides on-demand Earth observation imagery, today announced its partnership with SpaceNet®, a nonprofit organization dedicated to accelerating open source, artificial intelligence (AI) applied research for geospatial applications. Capella joins the collaborative SpaceNet partnership alongside In-Q-Tel’s (IQT) CosmiQ Works, Maxar Technologies, Intel AI and Amazon Web Services (AWS). Capella’s addition to the partnership presents an exciting opportunity to expand SpaceNet’s existing geospatial open source research to a new data type, Synthetic Aperture Radar (SAR). Opening access to this data will help broaden the use of high-quality SAR in a variety of geospatial analytic applications.
“SAR promises substantial value for a wide variety of geospatial applications because, unlike satellite imagery, it is not limited by weather or lighting conditions. Furthermore, SAR phase data can offer additional insights into a particular location such as land subsidence,” said Ryan Lewis, Senior Vice President at IQT and General Manager of SpaceNet. “Capella’s contribution of an open-source, high-resolution SAR data set is an important next step for SpaceNet, and we are excited to see how participants use this data for machine learning models in an upcoming challenge.”
About Capella Space
Capella Space is an information services company that provides on-demand Earth observation imagery. Through a constellation of small satellites, Capella is providing easy access to frequent, timely and flexible information affecting dozens of industries worldwide. Capella’s high-resolution synthetic aperture radar (SAR) satellites are matched with unparalleled infrastructure to deliver reliable global insights that sharpen our understanding of the changing world - improving decisions about commerce, conservation and well-being on Earth. Learn more at capellaspace.com.
SpaceNet is a nonprofit organization dedicated to accelerating applied research in geospatial machine learning by developing and providing publicly available commercial satellite imagery and labeled training data, as well as open sourcing computer vision algorithms and tools. Designed to lower the barrier to entry for developers, researchers and startups to access high-quality geospatial data, SpaceNet focuses on four key open source pillars: data, tools, challenge, and algorithms. SpaceNet is a collaborative initiative betweenCosmiQ Works,Maxar,Intel AI,Amazon Web Services, andCapella Space. Learn more atspacenet.ai.