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.
By Joe Morrison on December 13th, 2019
How accurate are our supervised machine learning models and what are they really doing? We offer 3 tips to help you better understand these models.
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.
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.
By Joe Morrison on October 8th, 2019
Read about our journey to hiring an outsourced data labeling firm and how we've found a partner in Cloud Factory.
By Joe Morrison on July 31st, 2019
How accurate of a machine learning model can you make? It depends on how we decide to define "accurate".