Joe Morrison, Author at Azavea

Line chart that is going up with area underneath filled with a satellite image.

STAC Labeling Competition — Video Recap

By Joe Morrison on January 18th, 2021

Hear from labeling competition participants on why this diverse group of people came together, from across the world, to collaborate on a hallmark training dataset compliant with the STAC standard.

Clouds overtop of the area labeled as clouds.

Software Engineering

Three Lessons from Running an Imagery Labeling Competition

By Joe Morrison on October 9th, 2020

We joined with Radiant Earth at the Cloud Native Geospatial Sprint to run a labeling competition for non-technical folks. This resulted in over 2.3 million square kilometers mapped and lots of lessons learned.

Illustration of Raster Vision being used to find cars using machine learning.

Company

The Business Case for Raster Vision

By Joe Morrison on August 10th, 2020

Raster Vision is the interface between the fields of earth observation and deep learning, making it easier to apply novel computer vision techniques to geospatial imagery of all types. Joe lays out how it can be implemented in your organization and give you a competitive advantage.

Software Engineering

SpaceNet Data Now Available in GroundWork

By Joe Morrison on June 12th, 2020

Incorporate high-resolution satellite imagery into your labeling projects for free.

Person walking down city park in the fall.

Software Engineering

America’s Cities are Sitting on a Gold Mine of Machine Learning Training Data

By Joe Morrison on February 2nd, 2020

Cities may not know it, but by nature of collecting and maintaining various datasets, they are sitting on a treasure trove of machine learning-ready training data.

Company

How to Find the Most Recent Satellite Imagery Anywhere on Earth

By Joe Morrison on January 2nd, 2020

Every project with satellite imagery begins with a data source. Here's a rundown of the best options, considering cost, usability, and resolution.