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A primary challenge of remote sensing surface temperatures is the coarse spatial resolution of infrared imagery relative to the size of features of interest. Infrared spectral separation methods can help resolve subpixel surface temperatures from mixed pixels with the use of simultaneous thermal infrared (TIR) and midwave infrared (MWIR) observations. However, MWIR has both reflected and emitted components. MWIR reflectivity of natural land surfaces has not been fully investigated for high temporal resolution, off-nadir-looking GOES-R ABI imagery, where the solar illumination angle changes over the course of the day. We used wintertime observations from Grand Mesa, Colorado, USA to investigate how MWIR radiance varied with view angle, solar illumination angle, the sun-satellite phase angle, and forest cover. We then propose next steps for incorporating MWIR anisotropy into spectral separation methods.
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