Introducing WMS and WCS Support for GeoTrellis and Raster Foundry
By Nathan Zimmerman on July 3rd, 2019
Raster Foundry and GeoTrellis now support WMS and WCS standards, enabling streamlined workflows that utilize multiple data sources.
Lessons in Functional API Development from Haskell’s Servant and Http4s
By James Santucci on May 20th, 2019
As a 10% time project, we replicated a small piece of the Raster Foundry backend code in Haskell, using servant for the REST interface and postgresql-simple for database interaction.
Aster Vision – A New Open Source Framework for Deep Learning on Astrospatial Imagery and Space Exploration
By James Santucci on April 1st, 2019
Aster Vision is an open source machine learning library for analyzing huge troves of astrospatial data and finding habitable planets around nearby stars.
Mapping Africa: Crowdsourced Machine Learning
By Justin Polchlopek on February 21st, 2019
We leveraged our ability to process raster imagery, our open sources libraries, and our knack for machine learning to map agricultural fields in Africa.
Reflections from the UN World Data Forum
By Ross Bernet on November 9th, 2018
Azavea attended the UN World Data Forum in Dubai last week and learned how Earth Imagery can be applied to Sustainable Development Goals (SDGs).
Raster Vision: A New Open Source Framework for Deep Learning on Satellite and Aerial Imagery
By Rob Emanuele on October 18th, 2018
Azavea is pleased to announce the release of Raster Vision, a new open source framework for deep learning on satellite and aerial imagery.