This article presents a method for coregistering hyperspectral imagery with photogrammetry to map shallow-water environments using an unmanned aerial vehicle (UAV). The approach involves a three-step georeferencing workflow that leverages outputs from a photogrammetry pipeline. First, the photogrammetry process is run, generating camera poses via structure-from-motion (SfM) and a dense point cloud through multiview stereo (MVS). A refraction correction is applied to this point cloud to produce high-resolution bathymetry. Second, the SfM-derived poses are refined by integrating UAV navigation data using a Kalman smoother. Third, the hyperspectral imager (HSI) is geometrically calibrated to align with the photogrammetry results, followed by ray tracing to project spectral measurements onto the bathymetric surface.