More and more satellite images are becoming available to study Earth's surface processes. Repeat satellite images over terrain movements such as glacier flow or landslides allow now to generate dense time series of terrain motion.
This project is to develop and test new algorithms of image correlation (image matching) that exploit the availability of a large number of satellite images over specific sites and motion processes to generate unprecedented dense and precise time series of terrain deformation.
The project mostly combines programming with satellite remote sensing.
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