Estimating Surface Temperature Change Over Tibetan Plateau Using Satellite Land Surface Temperature and Top of the Atmosphere Radiation
posterposted on 30.01.2019 by Yuhan Rao, Shunlin Liang, Yunyue Yu
Poster sessions are particularly prominent at academic conferences. Posters are usually one frame of a powerpoint (or similar) presentation and are represented at full resolution to make them zoomable.
In this poster, we presented a framework to estimate the surface air temperature of the Tibetan Plateau using machine learning model, i.e., Cubist regression, and satellite data derived land surface temperature together with radiation products. The data produced by this framework provide unique opportunity to better understand the surface warming over the Tibetan Plateau. This poster was presented at the Earth Science Information Partners (ESIP) Summer Meeting in January 2019.
CICS:Cooperative Agreement Proposal 2014 - 2019
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