Natural gas is deployed as an alternative fuel due to its cost and post-combustion emissions. However, methane, the main component of natural gas, is a greenhouse gas with a global warming potential (GWP) of at least 28 over 100 years. Currently, natural gas and petroleum systems are the highest emitters of methane to the atmosphere. Using conventional methods, the detection of natural gas leaks is time consuming. Currently, natural gas production sites deploy the Environmental Protection Agency's (EPA) Method 21 or optical gas imaging (OGI) for methane leak detection. Both methods require access to the natural gas site along with the time and workers necessary to conduct equipment leak checks. Industry and academia are seeking to develop and deploy mobile methane monitoring systems to geospatially identify methane emissions. There are a variety of sensor systems that can be combined to enable such monitoring but there may be implied limitations (implications) based on operating principle and sampling frequency. The goal of this research was to assess these implications and where applicable develop methods that could overcome limitations.