Freshwater estuaries are natural contributors to the carbon cycle, including production and emission of methane, a potent greenhouse gas (GHG). However, estimates of their contribution to global GHG emissions is largely unconstrained. Because of this, few studies have examined the quantification and drivers of lake methane production in temperate climates, and how it may change with climate and land use change. Recent research has identified the potential for quantifying methane emissions from lakes using remote sensing proxies of lake parameters in machine learning models. Operational remote sensing can be used to fill the gap in unmonitored lakes based on the relationship between optical signatures of water characteristics and in situ gas emissions. In this study, methane and carbon dioxide emissions were measured from three drowned river mouth (DRM) estuaries along the eastern shore of Lake Michigan ranging from mesotrophic to hypereutrophic. These lakes exist along a latitudinal gradient of varying degrees of anthropogenic influence from agricultural to forested riparian land cover types. The sampling design incorporated the build and deployment of DIY low-cost, autonomous floating greenhouse gas (CH4 and CO2) samplers in each lake. These were deployed from June through October 2024. Preliminary results suggest high interlake variability with seasonal means and standard errors ranging from 27.6 ± 6, 17.5 ± 2.2, and 15.8 ± 2.6 µmol/m2/hr, for Lake Macatawa, Muskegon, and White respectively. Sentinel-3 OLCI and SLSTR instruments will be used to calculate chlorophyll-a, lake surface temperature, diffuse attenuation coefficients, and photosynthetically active radiation across lakes. The gas sampler data will be coupled with the remotely sensed parameters to quantify methane emissions through machine learning. Results of this study will be used to identify trends in methane production among and between the three sites. The model output will be applied to other DRM ecosystems in West Michigan to quantify the regional GHG emissions from drowned river mouth estuaries.