Machine Learning

In this GBDX Notebook, we demonstrate the potential for using GBDX and Ecopia Building Footprints Powered by Digital Globe to assess potential property risks to buildings from the presence of nearby trees. Our focus is on a neighborhood in western Boulder County, Colorado.
Notebook by: Mike Gleason (michael.gleason@digitalglobe.com) In this GBDX Notebook, we demonstrate the potential for using GBDX and Ecopia Building Footprints to assess the forest fire risk to buildings in Shaver Lake, CA by quantifying the tree coverage in the area around each building.
Notebook by: Mike Gleason (michael.gleason@digitalglobe.com) In this Notebook, we demonstrate some basic functionality and workflows that can be used for small scale labeling of satellite imagery. These methods can be used to build up small sets of training or test data to help in algorithm development.
Machine learning burn detection > NBR! In this Notebook, we propose a binary classification method to identify destroyed and unharmed buildings and vegetation using high resolution satellite imagery, image processing, remote sensing, and machine learning.