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Can machine learning help us track carbon dynamics in tropical forests?

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If you have a question about this talk, please contact Tudor Suciu .

Field based studies have shown that the carbon stored in tropical forests is increasing, presumably due to CO2 fertilisation. However, the field plots on which these long-term studies are based are small and are mostly located in more accessible areas. Combining machine learning with remote sensing data provides many opportunities to improve and extend these field measurements. We will discuss a few examples, ranging from highly detailed terrestrial laser scanning to satellites. We will focus on the problem of segmenting individual trees in remote sensing data. This is adresses a key bottleneck between field data (which measures trees) and remote sensing data (which works in pixels).

This talk is part of the AI4ER Seminar Series series.

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Atrium, Alison Richard Building, West Road Room 6A, Addenbrookes Treatment Centre (Level 6) Max Perutz Lecture Theatre, New MRC-LMB (Addenbrooke's site)

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