We present a Fourier space method to combine the publicly available Herschel PACS and SPIRE data with the Planck thermal dust emission model. The method effectively combines the Planck large angular scale emission with the small scale \herschel emission, similar to the feathering method used in interferometry and recently implemented by Csengeri et al. to correct the ground-based ATLASGAL data. This method eliminates the pervasive negative fluxes present in the PACS 160 micron archive data while preserving the structure in the background of both the PACS and SPIRE data. We generate column density and temperature maps from data calibrated with this method. We analyze the validity of our new method using star-forming regions in a range of environments: low-mass Bok Globules (B68), nearby star-forming regions (Perseus), and high-mass star forming regions in the Galactic plane (including IRDC G11 and W31). We accurately recover low column density material, comparing well to previous near-infrared extinction methods at intermediate column densities, and providing a more accurate temperature assumption for interpretation of single frequency continuum data such as those obtained by ATLASGAL. The Herschel data, combined with our method, allow studies of the column density and temperature distributions of molecular clouds across a wide range of galactic environments: a key step to study the physics of star and cluster formation.
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