In this workshop, Dr. Amy Braverman, Senior Research Scientist at the NASA Jet Propulsion Laboratory, considers the role of AI in addressing climate change through the lens of the most comprehensive data resource for understanding climatic change: satellite data. Satellites have been observing the Earth for more than 50 years (LandSat) and provide a massive, distributed global archive of information. In the United States, most of these data are provided by NASA and NOAA, but other space agencies, such as those in Europe, Japan, and India, also have robust data collection programs.
Braverman shows why it is important to understand how these data are collected and processed. Crucially, because all geophysical data derived from satellites are inferences based on observed spectra, they are subject to uncertainties. Braverman explains why quantifying these uncertainties is critical if informed decisions are to be made in response to climate change.
This event is part of the 2023-2024 workshop series AI and Climate Change: Global Sustainability in an Era of Artificial Intelligence, organized by the Penn Program on Regulation. Co-sponsors include the Environmental Innovations Initiative, Kleinman Center for Energy Policy, Center for Technology, Innovation & Competition, Warren Center for Network and Data Sciences, and Wharton Climate Center.
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