Capella Space is partnering 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.
There is tremendous potential in applying machine learning to SAR data for a range of applications, from natural disaster response to monitoring global supply chain activity, but the industry still faces significant barriers to adoption. Developers and data scientists lack open data and software tools. Capella seeks to help overcome these obstacles through its partnership with SpaceNet and the development of a new SAR user community.
The Capella User Community will broaden the adoption of high-resolution SAR data to solve a range of global issues. Data scientists and software engineers will have access to free and open Capella data along with tools and techniques to work more easily with SAR data. The company invites academics, non-government organizations (NGOs), governments, and companies to join Capella’s User Community — access this direct link for additional information…
Ryan Lewis, the SVP at IQT and General Manager of SpaceNet, said that 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. Capella’s contribution of an open-source, high-resolution SAR data set is an important next step for SpaceNet and the company is excited to see how participants use this data for machine learning models in an upcoming challenge.
Andrew Ulmer, VP of Business Development at Capella Space, added that, traditionally, this type of high-resolution SAR data has only been used by governments for defense applications and has not been easy to access. By opening access to this type of data and lowering barriers to adoption, the company aims to foster broad and rapid advances in commerce, conservation and well-being across many industries. Capella Space encourages industry leaders, academics and NGOs to experiment with the data, as it’s the firm's collective imagination that will unlock the most value and transform how we live.
