Modern deep learning in combination with satellite data offers great opportunities to protect nature at global scale. In this talk, I will present ongoing research to estimate snow depth, map crops at country-scale, and estimate vegetation parameters such as biomass or vegetation height. Traditional approaches usually have to be adapted for specific ecosystems and regions. It is therefore very difficult to carry out homogeneous, large-scale modeling with high spatial and temporal resolution and, at the same time, good accuracy. Data-driven approaches, especially modern deep learning methods, promise great potential here to achieve globally consistent, transparent assessments of our environment.

Speakers:
Jan Dirk Wegner
Associate Professor
ETH Zurich

Moderators:
Gustau Camps-Valls
Professor in Electrical Engineering
Universitat de València

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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.