We donate a portion of our profits each year to support open source projects nominated by our team.
We donate a portion of our profits each year to support open source projects nominated by our team.
This blog explores the direct classification approach to change detection using our open-source geospatial deep learning framework, Raster Vision, and the publicly available Onera Satellite Change Detection (OSCD) dataset.
NumFocus is a nonprofit that supports many open source tools used in Azavea’s projects. Here, we highlight how they have supported our work.
Using open source data and easily customizable software, Azavea worked with PeopleForBikes to improve city transit networks.
We’re launching a library called Loam. Loam allows GDAL to be used in client-side code in a web application. Loam wraps a version of GDAL compiled to WebAssembly and makes the GDAL API and utilities available to Javascript running from within a web browser.
This release presents a major jump in Raster Vision’s power and flexibility. The newly added features allow for finer control of the model training as well as greater flexibility in ingesting data.
STAC is a specification for enabling online search and discovery of geospatial assets. This post walks through getting started with a number of STAC APIs.
Azavea partnered with Facebook and Ladysmith to make an engaging platform that makes data from a massive gender survey actionable.
k6.io provides a flexible base for load testing with a convenient scripting language, and the quickstart docs will get you pretty far, but testing with a session of TMS requests had some unique challenges.
We chatted with the Open Apparel Registry team about how open data and open source are becoming a larger part of the apparel industry.