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Daniele Marinelli and Manuel Bertoluzza received on 12 December the certificates and the prizes for the 2015 Best Italian Theses on remote sensing. The prizes were awarded by the Italian Chapter of the prestigious IEEE Geoscience and Remote Sensing Society.
The prizes were presented by Prof, Antonio Iodice who is the chapter chair.

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The November 2016 issue of the “Focus” magazine includes an article on planetary oceans which contains an interview to Prof. Bruzzone in relation to the Radar for Icy Moon Exploration (RIME) on the JUICE (JUpiter ICy moon Explorer) mission of European Space Agency. The interview addresses the capability of RIME to discover oceans in the interior of the Jupiter icy moons Europa, Ganymede and Callisto.

Leonardo Carrer (PhD student at RSLab) won the 2016 Best Student Paper Award at the “SPIE Conference on Active and Passive Microwave Remote Sensing for Environmental Monitoring”, Edinburgh, UK, 26-29September 2016 with the paper  “A bat-inspired technique for clutter reduction in radar sounder systems”

RSLab is the Coordinator (Principal Investigator) of STRATUS (SaTellite Radar sounder for eArTh sUb-surface Sensing), which is a new satellite mission concept based on a radar sounder for Earth Observation. STRATUS aims at studying for the first time from satellite the subsurface of the Earth. STRATUS main goals are the 3D monitoring at global scale of both icy areas (including Antarctica, Arctic and large glaciers) and desert areas. The project, funded by the Italian Space Agency, aims at studying and further developing the mission concept and the radar payload.

Begüm Demir has been elevated to Senior Member of the IEEE (Institute for Electrical and Electronics Engineers)

Some of the Remote Sensing Laboratory research activities are presented
at “Campus italia,” which has been broadscasted by RAI International. The video (in italian) is available at
the following link (starting at minute 10:38)

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RSLab is the Principal Investigator (Prime contractor) of a project funded by the European Space Agency (ESA) on the analysis of multitemporal images acquired by the ESA Sentinel 2 satellite constellation.

The project aims at defining the scientific methods and the related prototype algorithms for addressing three main challenges with the multispectral and multiresolution Sentinel 2 images:
1) change detection; 2) analysis of image time series; 3) updating of land-cover maps.

The algorithms should be tested on three full European countries in view of the definition of global products.