Machine Learning Coffee Seminar: Johanna Tamminen, Finnish Meteorological Institute "Satellite remote sensing and the potential of machine learning"

Satellite remote sensing and the potential of machine learning

Johanna Tamminen
Research Professor on Atmospheric Remote Sensing
Head of Atmospheric Remote Sensing Group
Finnish Meteorological Institute

Abstract: Satellites have become an essential technology for monitoring the Earth’s environment. The modern society has become more and more dependent on real-time observations to support security and critical functions of the society. The changing climate further emphasises the needs for reliable global observations, e.g., for understanding the carbon and water cycles. The EU’s Copernicus Remote Sensing programme and its Sentinel satellites will ensure operational observations till 2030s from six dedicated satellite missions, many of them consisting of several satellites. The free and open data policy of Copernicus programme gives potential for developing services and applications based on the data for scientific needs as well as for commercial, public and decision making purposes.  The huge data volumes of the satellites call for automatic methods for data analysis and the potential of machine learning techniques needs to be further explored. In this presentation, an overview of the large the satellite programme is given with some examples and applications on using the satellite data. The aim is to motivate research on developing machine learning methods for applications using satellite observations of the Earth’s environment.

See the next talks at the seminar webpage.

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