In this episode Heidi Hurst returns to talk to us about how in her current role at Pachama she is using the power of machine learning to fight climate change. She discusses her work in measuring the capacity of existing forests and reforestation projects using satellite imagery.
Episode Summary
The importance of carbon credits verification in mitigating climate change
How Pachama is using machine learning and satellite imagery to verify carbon projects
Three types of carbon projects: avoided deforestation, reforestation, and improved forest management
Challenges in using satellite imagery to measure the capacity of existing forests
The role of multispectral imaging in measuring density of forests
Challenges in collecting data from dense rainforests and weather obstructions
The impact of machine learning on scaling up carbon verification
Advancements in the field of satellite imaging, particularly in small satellite constellations