Geolabe is developing the first system capable of automatically detecting methane emissions in satellite imagery, down to the asset level, and without any human intervention. Geolabe's AI algorithms are able to parse and analyze large volumes of data captured anywhere on Earth, every few days.
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Claudia Hulbert
Claudia Hulbert is the co-founder and CEO of Geolabe, which is developing data science algorithms to tackle climate change issues. Geolabe has received support from NASA, DOE, and NSF small business innovation research programs. She earned her doctorate in machine learning and geoscience from the École Normale Supérieure in France. Before founding Geolabe, Hulbert worked in economic policy at the Organisation for Economic Co-operation and Development and at the Los Alamos National Laboratory.
TECHNOLOGY
Critical Need
To effectively detect and quantify key drivers and phenomena of climate change, and prioritize strategies for combatting it, technologies are needed to leverage remote sensing and other geophysical data at scale. However, despite the development of cutting-edge geophysics techniques such as multispectral remote sensing and radar interferometry, many studies remain limited in scope. Most of the data collected through these techniques is never analyzed due to the large data volume and lengthy processing times involved, which hinders the ability of governments and companies to address global warming.
Technology Vision
Machine learning approaches tailored for processing and analyzing vast amounts of complex geophysical data hold the key to improving the efficiency, scalibility and detection capabilities of such phenomena. Geolabe develops algorithms for spectral imaging and radar interferometry, allowing to automatically identify and quantify key climate variables such as greenhouse gas emissions, water resources, and ground stability. These algorithms bypass the computational drawbacks of current approaches, and are deployable at scale thanks to fast inference and without relying on human intervention.
Potential for Impact
By analyzing critical drivers and phenomena related to climate change, such as greenhouse gas emissions, soil moisture, and water resources, Geolabe’s technology is designed to enable organizations to track their environmental impact and identify targeted remedial actions on a large scale. Such novel data will equip companies and governments to curtail their carbon emissions and use natural resources sustainably.