Azavea is pleased to announce the release of Raster Vision, a new open source framework for deep learning on satellite and aerial imagery.
Azavea is pleased to announce the release of Raster Vision, a new open source framework for deep learning on satellite and aerial imagery.
Here are our key takeaways from SatSummit and some thoughts to help drive innovation related to earth observation data toward impactful solutions.
This 2018 Azavea Open Source Fellowship project enables serverless Lambda-based raster and vector tile generation from PostGIS data.
Grout is an open source framework that empowers non-technical administrative users to directly define and modify data at the core of their application.
Learn how to generate a Data URL or image file of the current map extent from a Mapbox GL Web Map.
Use this open source data processing pipeline to convert geodatabase files to vector tiles for use in a web application.
This Azavea 10% Time project defines a process for converting big data files to vector tiles and allows a user to identify habitat areas in need of protection.
Learn how to create and validate certificates with a reusable Terraform module.
Open-source code with instructions to create an interactive feature like a data scrubber in Angular (Angular 2, Angular 4+) when mousing over a d3.js chart or visualization.
Earlier this month, we presented, exhibited, and attended talks at FOSS4G NA in St. Louis. Read our recap of events and view the slides from our presentations.