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

2019-08-01T18:13:42Z (GMT) by Yuhan Rao
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.

This presentation was given in July 2019 at the Earth Science Information Partners (ESIP) Summer Meeting held in Tacoma, Washington.