Deep learning for detecting methane plumes in noisy satellite imagery

I’m training convolutional neural networks to localize methane plumes in noisy GHGSat satellite observations.

daniel varon methane satellite harvard plume thumb3



Estimating methane emissions from coal mine vents using GHGSat-D satellite observations

I’m estimating methane emissions from underground coal mines in the United States, China, and Australia by aggregating GHGSat-D observations in time. Check out my 2018 AGU poster for details.

daniel varon methane satellite harvard plume thumb2



Source rate retrieval algorithms for quantifying methane point sources from space

I developed algorithms for retrieving emission rates from fine-resolution satellite observations of atmospheric methane plumes. You can read more about them in this paper.

daniel varon methane satellite harvard plume thumb1



Previous projects

Star forming galaxies in a galaxy supercluster
Temperature variability and climate