GRSS fall school on “Advanced methods in remote sensing information extraction”

Online from Nov. 3 to 5, 2020.

The school aims at introducing the attendee to advanced signal processing methods for information retrieval in large scale datasets collected by multiple remote sensors. To achieve this, the school will bring together leading researchers from academic institutions, data providers, and industry end-users.

The main inspiration of the school is the new developments in remote sensing technologies, which  are moving towards smaller, specialized satellite systems, constellations involving many platforms, and exploitation of multi-sensor (multi-modal) observations.

Together with the ever-increasing capabilities for higher spatial, spectral, temporal, and radiometric resolution, this results in an explosive growth in the amount of RS data available for Earth science applications. The proliferation of RS data also increases the complexity of these data, like larger diversity and higher dimensionality.

This development goes hand in hand with the rise of new, innovative signal processing methodologies to take advantage of the new monitoring capabilities and opportunities.


This is a brief summary of the motivation of the school. Please find more info at