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

Rao, Yuhan

doi:10.6084/m9.figshare.8980409.v1

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

presentation

posted on 2019-08-01, 18:13 authored 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.

History

Usage metrics

Keywords

machine learning cryosphere Tibetan plateau lst modis ESIP Summer 2019 Earth Sciences not elsewhere classified

Licence

CC BY 4.0

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

History

Usage metrics

Categories

Keywords

Licence

Exports