Global-scale mapping of periglacial landforms on Earth and Mars
We are developing a machine learning system based on high-resolution images of Earth and Mars for classifying periglacial landscape features, detecting their temporal changes, and assessing their global distribution as well as their potential as indicator for climate conditions and changes.
Unravelling the interior evolution of terrestrial planets using machine learning
The thermal evolution of terrestrial planets such as Earth and Mars is governed by mantle convection. Yet, the parameters and initial conditions that are inputs to mantle convection simulations are poorly constrained. This talk will explore some machine learning methods that can be help us infer those key parameters.
Access to the zoom meeting: https://zoom.us/j/97891484486