Artificial intelligence software to detect methane leaks

GHGSat is the world leader in the high-resolution remote sensing of greenhouse gases from space. A pioneer in this approach, GHGSat provides emissions data and unique information to companies, governments, regulators and investors worldwide, with the aim of optimizing their performance and meeting environmental standards. 

The company wants to develop a solution to help detect methane plumes that uses artificial intelligence (AI) to optimize the reading of observations, with the aim of speeding up the work of analysts. 

Find out how GHGSat is increasing its data analysis capacity to automate its detection operations thanks to an artificial intelligence software developed by INO, by reading this case study.

What you’ll learn 

Discover how INO collaborated with GHGSat to increase its data analysis capabilities to help support their operators automate its detection operations thanks to an artificial intelligence software developed by INO. By reading this case study you will learn more about: 

• Advanced Satellite Technology: How GHGSat’s constellation of satellites, equipped with sensor technology, can identify small scale methane leaks and determine the source of emissions down to the scale of individual facilities. 
• Technological Challenges: Including an expertise in understanding sensors, data quality and defining performance criteria. 
• Accelerating the Work of Operators: How the development of artificial intelligence algorithms, based on images and reports provided by GHGSat, can improve operator efficiency to detecting methane leaks.