Carbon Sense

Carbon Sense
Podcast Description
Hosted by Dr. Sean Crowell, Founder and CEO of LumenUs Scientific, Carbon Sense explores the cutting-edge science and technology driving climate solutions. With a focus on the transformative power of satellite data, each episode dives into the pressing challenges of carbon emissions and climate change. Dr. Crowell brings his expertise and vision for an inclusive, mindful approach to advancing climate technologies, creating a platform for leading experts to share actionable insights and solutions. Tune in to discover how innovation and collaboration are shaping a better future for all of us.
Podcast Insights
Content Themes
The podcast centers on themes of climate science, satellite technology, and carbon emissions solutions, with episodes such as those exploring the intricacies of the carbon cycle and the implications of greenhouse gases on global warming. It emphasizes innovative approaches to climate challenges and practical insights for listeners.

Hosted by Dr. Sean Crowell, Founder and CEO of LumenUs Scientific, Carbon Sense explores the cutting-edge science and technology driving climate solutions. With a focus on the transformative power of satellite data, each episode dives into the pressing challenges of carbon emissions and climate change. Dr. Crowell brings his expertise and vision for an inclusive, mindful approach to advancing climate technologies, creating a platform for leading experts to share actionable insights and solutions. Tune in to discover how innovation and collaboration are shaping a better future for all of us.
In this conversation, Dr. Heather Couture discusses her work with Climate TRACE, focusing on the use of AI and satellite data to estimate CO2 emissions from power plants. She explains the importance of granular data for individual power plants, the challenges of estimating emissions accurately, and the need for collaboration in improving emission monitoring techniques. The discussion covers various aspects of machine learning, satellite technology, and the complexities of emissions data.
Keywords
Climate TRACE, AI, CO2 emissions, power plants, satellite data, machine learning, greenhouse gases, emissions monitoring, environmental science, energy production

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