Mapping forests: Verifying carbon offsetting with machine learning
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 Summary1. The importance of carbon credits verification in mitigating climate change2. How Pachama is using machine learning and satellite imagery to verify carbon projects3. Three types of carbon projects: avoided deforestation, reforestation, and improved forest management4. Challenges in using satellite imagery to measure the capacity of existing forests5. The role of multispectral imaging in measuring density of forests6. Challenges in collecting data from dense rainforests and weather obstructions7. The impact of machine learning on scaling up carbon verification8. Advancements in the field of satellite imaging, particularly in small satellite constellations