Planet makes its geospatial data available through Amazon SageMaker

Planet makes its geospatial data available through Amazon SageMaker

SAN FRANCISCO, December 14, 2022–(BUSINESS WIRE)–Planet Labs PBC (NYSE:PL), a leading provider of everyday Earth data and information, today announced it is making geospatial data available through Amazon SageMaker , a fully managed machine learning (ML) service from Amazon Web Services (AWS). Now, Planet data can be directly integrated with Amazon SageMaker, enabling data scientists and ML engineers to acquire and analyze global, everyday satellite data. With this data, customers can train, test, and deploy ML models in Amazon SageMaker.

Planet operates the largest constellation of Earth observation satellites in the world, with the capability to provide medium and high resolution images of Earth’s landmass on a daily basis. Planet uses AWS to better serve its customers who can now benefit from the simplicity and speed of new Amazon SageMaker geospatial ML capabilities to build, train, and deploy ML models using Planet’s geospatial data at up to 10 times higher. These enhanced capabilities create new opportunities for Planet’s customers to accelerate access to data in geospatial tools and cloud platforms.

Due to the hard work required to use geospatial data for ML, access to ML has always been out of reach for many geospatial data customers. With Amazon SageMaker, customers can pull their proprietary data sources, such as Planet satellite data, from Amazon Location Service, and AWS Data Exchange. It is a first-of-its-kind partnership and the only high-speed, on-demand satellite imagery ML model training, inference, and visualization platform available on the market.

“Planet understands the challenges associated with ingesting and delivering massive volumes of data,” said Planet President Kevin Weil. “Thanks to Amazon SageMaker, we can now offer ML functionality with deep integrations of multiple datasets, and we look forward to developing and collaborating on complex models with our customers.

“Building, training, and deploying ML models using geospatial data is a manual process for most organizations. The main barrier is the lack of purpose-built capabilities to perform ML on these types of datasets. big data,” said Kumar Chellapilla, GM AI Services at AWS. “Amazon SageMaker can help simplify and accelerate geospatial ML from months to minutes by enabling Planet customers to enrich their datasets, train geospatial models, visualize results, and more. Together with Planet, we are excited to unlock the value of geospatial data for their customers and help them make accurate predictions.”

Purpose-built for geospatial data, Amazon SageMaker’s geospatial ML capabilities provide easy-to-use tools to orchestrate data segmentation and pre-processing operations for satellite imagery, create web visualizations, and create layouts. transparent scale for large datasets. Pre-built algorithms can reduce development to just days and one-click deployment to the cloud, freeing up time for customers.

Planet customers are invited to integrate Planet data into Amazon SageMaker’s new geospatial ML capabilities to provide early-stage feedback, starting in December 2022. In November, Kevin Weil participated in a conversation at fireside at AWS re:Invent where he teamed up with Kris from AWS Efland to discuss opportunities for this job.

About Planet Labs PBC

Planet is a leading provider of daily satellite imagery and global geospatial solutions. Planet’s mission is to image the world on a daily basis and to make change visible, accessible and achievable. Founded in 2010 by three NASA scientists, Planet designs, builds and operates the largest fleet of Earth observation imaging satellites, capturing more than 30TB of data daily. Planet provides critical data, advanced information and software solutions to more than 800 customers, including the world’s leading agriculture, forestry, intelligence, education and finance companies and government agencies, enabling users to simply and efficiently derive unique value from satellite imagery. Planet is a public benefit corporation listed on the New York Stock Exchange as PL. To learn more, visit and follow us on Twitter.

Planet Labs PBC Forward-Looking Statements

Except for historical information contained in this press release, the matters set forth in this press release are forward-looking statements within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995, including including, but not limited to, Planet Labs PBC’s ability to capture market opportunities and realize potential benefits from current or future product enhancements, new products, or strategic partnerships and customer collaborations. Forward-looking statements are based on the beliefs of Planet Labs PBC management, as well as assumptions made by and information currently available to them. Because these statements are based on expectations about future events and results and are not statements of fact, actual results may differ materially from those projected. Factors that could cause actual results to differ materially from current expectations include, but are not limited to, risk factors and other information about Planet Labs PBC and its business included in periodic reports, proxy statements and other Planet Labs PBC disclosure documents filed from time to time. at any time with the Securities and Exchange Commission (SEC) which are available online at and on the Planet Labs PBC website at All forward-looking statements reflect the beliefs and assumptions of Planet Labs PBC only as of the date such statements are made. Planet Labs PBC undertakes no obligation to update forward-looking statements to reflect future events or circumstances.

See the source version on


Planet Press
Claire Bentley Dale

Planet Investor Relations
Chris Genualdi, Cleo Palmer-Poroner

#Planet #geospatial #data #Amazon #SageMaker

Leave a Comment

Your email address will not be published. Required fields are marked *