Astraea launches EarthAI Notebook, the first integrated platform for global-scale geospatial analytics
Astraea, an early-stage tech startup using machine learning and AI to enable individuals and organizations to unlock insight from Earth observing satellite data, today announced the launch of EarthAI Notebook, a new tool for analyzing geospatial data. EarthAI Notebook is a fully hosted and managed JuypterLab Notebook designed specifically to analyze raster data at scale, allowing users to unlock insight from geospatial imagery at an unprecedented scale.
Founded in 2016 by Brendan Richardson, Daniel Bailey, Kimberly Scott, Matt Eldridge, and Simeon Fitch, the Charlottesville, Virginia-based Astraea is building the world’s most advanced machine learning platform for Earth-observing satellite data and geospatial information. Due to the reduced cost of satellite technology and the availability of new sensor technologies, there is an explosion of Earth-observing data waiting to be leveraged.
Astraea is empowering corporations, organizations, and individuals to easily access, analyze, and extract actionable insights about our planet, providing global understanding for local impact. Its cloud-native platform provides the tools and infrastructure required to build production-level analytics on satellite and drone imagery.
“Imagery data is currently too large, costly, and complex to run any sort of efficient analysis on,” says Brendan Richardson, CEO at Astraea. “We believe that EarthAI Notebook will enable scientists, developers, and organizations alike to extract information from the terabytes of Earth-observation data being collected each day.”
Features and benefits of EarthAI Notebook include:
- Cloud-Native – Our hosted solution lets a user to seamlessly scale analysis from their laptop to the cloud.
- Data Included – Access over 8+ Petabytes of Earth-observing satellite imagery through our integrated API connection to Astraea’s Earth OnDemand platform.
- Imagery Optimized – Provides users the tools required to analyze raster data using Python, SQL, or Scala in a tabular DataFrame, powered by Apache Spark.
- Commercial Friendly Licensing – All tiers of EarthAI are intended for commercial applications.
EarthAI Notebook will be available starting Thursday, Dec. 19, for FREE through a 30-day trial with no credit card required. You can learn more about EarthAI Notebook at Astraea.Earth.