SkyTruth Intern Sasha Bylsma and Geospatial Analyst Brendan Jarrell explained how we create training data and implement a machine learning model to detect oil and gas well pads.
This is the second post in a 3-part blog series describing SkyTruth’s effort to automate the detection of oil and gas well pads around the world using machine learning. This tool will allow local communities, conservationists, researchers, policymakers and journalists to see for themselves the growth of drilling in the areas they care about.
This blog post is the first in a three-part series describing SkyTruth’s effort to automate the detection of oil and gas well pads around the world using machine learning. This tool will allow local communities, conservationists, researchers, policymakers, and journalists to see for themselves the growth of drilling in the areas they care about.
We’re always glad to have conservation-minded groups and individuals use our flaring maps, but we would like to correct some errors in how our data was interpreted in two recent articles in the Stabroek News concerning natural gas flaring from an ExxonMobil-owned vessel, the Liza Destiny, anchored off the coast of Guyana.
Many tribal groups have voiced concerns about the spiritual, cultural, physical and health impacts from drilling in the area. To illustrate the extent of drilling in recent years, SkyTruth created an animation of wells surrounding Chaco Culture National Historical Park to inform the debate around drilling in the area.