Weg_RE Project

Earth observation and geoscience

Applying machine learning to satellite imagery and climate data

Andreas Trügler

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Earth observation

Earth observation and geoscience

One of the great things about machine learning algorithms is that they can be applied to so many different fields and problems, that’s one of the main reasons why working with them is so fascinating. Due to my passion for mountains, snow and remote areas like Greenland or Svalbard, linking them with geoscience and glaciology was kind of obvious for me.

Thus I’m very excited about my current collaboration with Jakob Abermann and his colleagues from the Institute of Geography and Regional Science with focus on the application of deep learning algorithms to geoscience.

Evaluation of satellite data

In 2018 together with Thomas Gölles I also co-founded our start-up company ATSEDA AB in Sweden, where we started with providing data science services for industry applications and later changed our focus entirely to evaluations of satellite imagery and climate data based on time series and neural networks.

Northwest Greenland captured by the Copernicus Sentinel-3 mission, © ESA.

Northwest Greenland captured by the Copernicus Sentinel-3 mission, © ESA.

We have been accepted to the ESA Business Incubation Center in Graz and are currently organizing the transition of ATSEDA from Sweden to Austria.

Title image: Ellesmere Island in Northwest Greenland, © ESA.



FWF funded research project about centennial climate drivers of glacier changes in greenland.