10 Years into Azavea’s Charitable Contributions Program
By Robert Cheetham on December 3rd, 2019
Ten years ago we started a charitable contributions program. We developed a program that would increase our impact and expand employee ownership.
Ethical Machine Learning for Disaster Relief: Avoiding the Second Disaster
By Niki LaGrone on November 25th, 2019
Machine learning on satellite imagery is revolutionizing disaster relief. What does ethical machine learning mean in this field?
Betting Big on the Spatiotemporal Asset Catalog (STAC) Standard
By Joe Morrison on November 22nd, 2019
We're investing heavily in the STAC specification - including building a STAC-compatible Python library and server as well contributing to the Label Extension. We're hoping this work will help accelerate adoption across the geospatial engineering community more broadly.
An Introduction to Satellite Imagery and Machine Learning
By Joe Morrison on November 5th, 2019
Today, the availability of satellite imagery still far outpaces our capacity to analyze it, but machine learning and tools like Raster Vision are helping.
Introducing PySTAC: A Core Library for SpatioTemporal Asset Catalogs
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!
GeoTrellis 3.0 Release
By Eugene Cheipesh and Ross Bernet on October 29th, 2019
GeoTrellis 3.0 includes feature additions and improvements that make it easier to read raster data from a variety of formats and sources, and support COG's.