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Making sense of methane fluxes with MATLAB

Making sense of methane fluxes with MATLAB. Gavin McNicol EPS 209 Data source – Jaclyn Hatala & Dennis Baldocchi. Field Site & Method. Sherman Island, Sacramento- SJ Bay Delta Collaboration with Baldocchi lab Eddy covariance flux measurements CH 4 CO 2 H 2 O.

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Making sense of methane fluxes with MATLAB

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  1. Making sense of methane fluxes with MATLAB Gavin McNicol EPS 209 Data source – Jaclyn Hatala & Dennis Baldocchi

  2. Field Site & Method Sherman Island, Sacramento- SJ Bay Delta Collaboration with Baldocchi lab Eddy covariance flux measurements CH4 CO2 H2O

  3. Diurnal methane fluxes Source: Jaclyn Hatala & Dennis Baldocchi

  4. Cow Cam! Source: Dettoet al. (2010)

  5. MATLAB Image Processing Basic Goals: Find cows in image (color, texture, intensity) Produce vector of ‘cow’ and ‘no cow’ time points Can we do more than just presence/absence?

  6. Results so far • Individual images: can we see the cows? Range Filter

  7. Results • Individual images: can we see the cows? Mahalanobis distance

  8. Results Range filter method on test images: 59% accuracy (type I error) Threshold

  9. Results Unexpected result 18th – 25th January 2010

  10. Next steps 1 – Combine mahalanobis distance information with edge detector 2 – Better to over-predict. 3 – Group photos by day as cows are never there all day and look at deviation from mean intensity. Questions?

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