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The MS-TS project aims at designing and developing novel methodologies for the homogenization of multisensor data in terms of physical quantities. In addition, this project will contribute to the development of novel theoretical methodologies for exploiting existing long time series of multisensor images in environmental monitoring with particular attention to change detection and land-cover transition analysis.

RSDE is part of the activities for the design, development, and scientific exploitation of the Radar for Icy Moon Exploration (RIME) instrument for the JUpiter ICy moons Explorer (JUICE) mission (European Space Agency – Italian Space Agency – NASA)

RSDE unit is part of the STRATUS, 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. Main goals are the 3D monitoring at global scale of both icy areas (including Antartica, Artic 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.

In the context of Scientific Exploitation of Operational Missions (SEOM), ESA devoted funds for projects on the sceintfic exploitation of Sentinel 2 data (S2-4Sci Land and Water).

RSDE unit is part of a project funded by the European Space Agency (ESA) on the analysis of multitemporal images acquired by the ESA Sentinel 2 satellite constellation.

CRYOMON-SciPro is an Interregional Project Network (IPN) on cryosphere science involving complementary expertise key research institutions within the EUREGO region.

CCI+ HRLC Climate Change Initiative Extension (CCI+) Phase 1, New Essential Climate Variables (NEW ECVS) High Resolution Land Cover ECV (HR_LandCover_cci) -ESA (European Space Agency) [2018-2021]

Accurate and timely maps are a fundamental resource but their production in a changing world is a major scientific and practical grand challenge. Remote sensing provides images for mapping at unparalleled rates but the ground reference data needed in map production and evaluation are difficult to acquire. The work is highly inter-disciplinary and involves a diverse array of contributors.

The project aims at improving the understanding of the behavior of the snow in the Alpine region of Trentino-Alto-Adige (Italy) and Tirol (Austria). This kind of monitoring requires wide swath cover, all-weather capabilities, relative short revisit time and a large database spanning a relevant number of years: all of these are features of the ENVISAT-ASAR sensor.

The project is developed within the India-Trento Program for Advanced Research – (ITPAR phase 3) with the aim to push scientific collaboration between Indian and Italian research institutions. The specific projet aims at developing advanced techniques being able to effectively analyse data acquired by the “last-generation” remote sensing sensors: i) Very high spatial/spectral resolution optical images; ii) Very high resolution polarimetric SAR images; and iii) Multi/hyper-temporal SAR and optical images.