By Rob Emanuele and Simon Kassel on August 17th, 2020
PySTAC 0.5.0 for STAC 1.0.0-beta.2 is released! We're keeping PySTAC up with changes to the spec itself, and rounding out the library with new extensions and features. In this post, we’ll catch you up with what’s new.
By Rob Emanuele on November 4th, 2019
PySTAC is a Python library for reading, writing, and manipulating SpatioTemporal Asset Catalogs. PySTAC 0.3 is now released and ready to use!
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.
By Lewis Fishgold and Rob Emanuele on May 30th, 2017
This post describes how to use deep learning to do semantic segmentation on aerial and satellite imagery, experiments on the ISPRS Potsdam dataset, and how to visualize model predictions on a map.