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A study, under the leadership of RSLab, has proven for the first time the existance of an accessible conduit at the bottom of a lunar Pit in the Tranbquility Sea. This has been possible by re-analayzing a synthetic aperture radar image acquired in 2010 by the Lunar Reconnaissance Orbiter of NASA with a new radar processing technology recently developed at RSLab. The study has very important scientific implications and is very relevant for shaping future exploration acitvities on the Moon.

The paper is available at this link.

The research has worlwide resonance with a huge attention from the media of all the world. Below some selected example of media coverage with dedicated interviews on the discovery.



Time serie of high resolution land-cover maps are crucial for assessing changes in the land-cover patterns that either can affect or be induced by climate change. RSLab has the leadership of the High Resolution Land Cover project in the context of the European Space Agency – ESA Climate Change Initiative. Regional products that represent the evolution of land-cover between 1990 and 2019 at 10-30 meters resolution have been produced and are now available for Amazonia, Africa Sahel and Siberia.

These products reaveal detailed and very relevant change patterns that were not visibile in available medium resolution products.

The products are presented in a video produced in collabaration between RSLab and ESA that can be seen here.

More details on the project, the products and their impact in the media news below.


On April 4, Khatereh Meshkini succesfully defended her PhD Thesis on “Advanced Methods for Land Cover Mapping and Change Detection in High Resolution Satellite Image Time Series”.

Congratulations to Khatereh!

Alpine glaciers are suffering the climate change. RSLab in collaboration with the Risk Prevention and Cue Service and the Geological Service of the Province of Trento and thanks to the support of the Helicopter Unit of the Permanent Fire Brigade of Trento,  is conducting a campaign of measurements on the Marmolada glacier with a Ground Penetrating Radar to characterize the glacier bedrock and study the possibility to identify accumulation of water at the interface between ice and rocks as well as the presence of water in the ice column. After two series of measurements with high temperatures in the Summer 2023, in the past days we acquired data in winter thermal conditions with snow covering the glacier.

Some pictures and videos of the glacier during the campaign as well as some examples of media coverage can be found below.


The EnVision mission to Venus and the activities of RSLab in planetary exploration and Earth observation have been recently the focus of some national and regional media insights.

Below some links to TV and radio broadcasts (in italian and german).

The High Resolution Land Cover (HRLC) Essential Climate Variable (ECV) project developed under the Climate Change Initiative (CCI) of ESA started the Phase-2 activities with the Kick-off in ESA ESRIN, Frascati, Italy. RSLab leads the project that involves 11 international partners. In Phase-1 the team produced land-cover maps at 10m resolution of 2019 and time series of land-cover maps at 30m resolution every 5 years between 1990 and 2019 in regions located in Amazon, Africa Sahel and Siberia (see figure below). Yearly based land-cover-change maps have also been generated. These products will be presented in the next weeks (stay tuned).

More about the project:

The main goal of the HR Land Cover ECV project is to study in detail the role of the spatial resolution in the mapping of land cover and land cover changes to support climate modelling research. Accurate land cover mapping and land cover change detection are extremely important for a better understanding of the global climate system. Land cover and related changes are in fact both cause and consequence of climate change either when the change is human-induced or generated from natural events. This has been widely recognized by the scientific community and demonstrated by the previous phase of the CCI programme, focused on the generation of Medium Resolution (MR) land cover maps at global scale. Differently from the MR land cover CCI, which provided annual land cover maps at 300m resolution covering the period 1992-2015, the HRLC project aims at producing maps characterized by a spatial resolution of 10m/30m. Moving from 300m to 30m requires the definition of new data analysis and processing methods, reframing the perspective with respect to the MR project both from the theoretical and the operational view points.

Today the European Space Agency has officially approved the adoption of EnVision that thus will proceed to the next stage of development. Being adopted means that the study phase is complete and ESA commits to implementing the mission. This important milestone paves the way for the mission’s planned launch in 2031, marking a key step in exploring the mysteries of the planet Venus. The EnVision mission was selected by ESA’s Science Programme Committee on 10 June 2021 as the fifth medium-class mission in the Agency’s Cosmic Vision plan.

RSLab plays a key role in the mission, with Prof. Lorenzo Bruzzone serving as Principal Investigator for SRS (Subsurface Radar Sounder). SRS is a radar sounder designed to explore the first hundreds meters below the Venusian crust uncovering subsurface geology and surface properties. SRS is the first radar sounder involved in a mission to Venus. It will provide insights into the origin of several unusual Venus geological features such as pancake domes and complex ridged terrains (tesserae), and analyze stratigraphy, volcanic features and burried craters. Moreover, the instruments has also the capability to detect possible presence of lightning in the Venus atmosphere, events that could be associated to the presence of volcanic eruptions.

Below some samples from the coverage of the national, international and local media.

RSLab contributed to a research published on Nature Communication that gained visibility on the international media. This research produced a new lunar surface chemical map by using artificial intelligence (in particular deep learning) and new samples taken by the lunar-sample-return mission Chang’e-5 (CE-5) integrated with Apollo and Luna samples as ground truth. This is a cooperation among different Chinese Universities (with the leading scientist who spent  part of the PhD and a postdoc at RSLab), University of Trento and University of Iceland.

See below for more details on the media reports.

The RSLab activities and projects related to remote sensing for forest monitoring have been the focus of a TV report on the national  RAI 3 TG Leonardo and on the RAI TGR . The report  addresses the activities developed by using LiDAR sensors and multispectral/hyperspectral  scanner on board of aircrafts, drones and satellites. Particular attention is given to the research in progress based on the use of artificial intelligence techniques applied to the hyperspectral images acquired  by the PRISMA satellite of the Italian Space Agency.

More details at the links below.