In this episode of This Week in Carbon, host Edward Smith engages with Clinton Libbey, founder of Kumi Analytics, to explore the transformative role of satellite imagery and AI in carbon markets. Clinton shares his extensive background in remote sensing, detailing his journey from working with NASA's early image processing systems to founding Kumi Analytics.

The conversation delves into the complexities of using satellite data for environmental monitoring, particularly in carbon projects, and highlights the importance of deep learning in extracting valuable insights from satellite imagery.

Clinton emphasizes the need for accurate environmental intelligence to improve the integrity and transparency of carbon credits, especially in light of past scandals in the carbon market.

Key highlights:

Satellite imagery is the richest source of information.
Deep learning is crucial for extracting value from complex satellite data.
Combining different satellite types enhances data accuracy.
Mangroves are critical for carbon sequestration but face significant threats.
High-resolution data is essential for accurate carbon monitoring.

Chapters:00:00 - Introduction and Background

02:14 - Clinton Libbey's Journey in Remote Sensing

05:08 - Deep Learning and Satellite Imagery

07:11 - The Shift to Carbon Markets

10:53 - Types of Satellites for Environmental Monitoring

16:29 - Data Fusion and Ecosystem Variations

19:27 - Blue Carbon and Mangrove Restoration

25:08 - Challenges in Blue Carbon Projects

28:56 - Estimating Below Ground Carbon

31:14 - Kumi's Approach to Mangrove Restoration

34:26 - Collaboration with Private Developers

36:24 - The Future of Digital MRV

40:23 - Interoperability and Standardization in Carbon Markets

46:08 - Conclusion and Key Insights

Transforming Carbon Markets with Satellite Imagery and AI - Clinton Libbey