Integrating Satellite Observations and In Situ Measurements to Study Snow-Albedo-Temperature Interactions Over the Tibetan Plateau

This presentation discusses a machine learning approach to improving estimates of land surface temperature (LST) in data scarce regions. The research discussed here covers the Tibetan Plateau.<div><br></div><div>This presentation was given in July 2019 at the Earth Science Information Partners (ESIP) Summer Meeting held in Tacoma, Washington.<br></div>