Quantifying methane emissions from Laurentian Great Lakes estuaries using in situ measurements, remote sensing and machine learning

This dataset contains the data used to develop the model and figures for the manuscript in L&O Letters. In this study, CH4 fluxes were measured from three drowned river mouths (DRM) estuaries along the eastern shore of Lake Michigan using low-cost, autonomous floating samplers in the littoral zone and discrete samples in the pelagic zone from May – October 2024. Sentinel-3 OLCI, gridMET, and MODIS were used to calculate environmental variable proxies, which were used to estimate CH4 fluxes with machine learning.