Methane (CH4) emissions from dispersed sources, such as landfills and multiple small (<100 kg/hr) fugitive sources in the oil and gas sector, are typically challenging to monitor and quantify due to their lower concentrations and high spatial and temporal variability. This study assesses the viability of ground-based hyperspectral imaging for capturing these types of dispersed sources through controlled releases. The hyperspectral camera is an imaging Fourier transform spectrometer (IFTS) operating between 7.43 and 13.30 μm. The instrument generates an intensity spectrum for every pixel within its field of view (FOV) with a spectral resolution up to 1 cm-1. Parameters such as air temperature, background temperature, CH4 column densities, and H2O column densities can then be inferred by solving an inverse problem, which involves finding the parameter combination that minimizes the residual norm between the measured and model spectra obtained from the radiative transfer equation. The inferred CH4 column density measurements are validated pixel-wise using an open-path tunable diode laser absorption spectrometer (Boreal GasFinder3 OP) operating at the 1653 nm CH4 line. Additionally, estimates of CH4 emission rates are obtained by combining CH4 column density maps with gas animations derived from the raw IFTS data. The current study uses controlled-release sources to examine the variability and associated uncertainty in estimated CH4 emission rates under different environmental conditions by comparing these estimates with flow rates measured directly from the source tank's flowmeter.