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Lorenzo Bruzzone gave an invited plenary keynote presentation at the XXI Conference of the Asociación Española de Teledetección (AET) helded in Cáceres, Spain.

The keynote presentation, “Challenges and Opportunities for Generating Global High-Resolution Land-Cover Maps in the Era of Foundation Models,” explored the theoretical and practical challenges of AI-based approaches for producing global high-resolution land-cover maps from remote sensing data. The talk also highlighted how methodological choices can significantly influence the quality, reliability, and uncertainty of the resulting products.

The presentation provided an excellent opportunity to showcase the high-resolution land-cover products developed to support climate modeling within the framework of the European Space Agency Climate Change Initiative  High Resolution Land Cover project developed under the leadership of RSLab.


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Raktim Ghosh received the 2025 “Frank Marzano” award for the Best Italian PhD Theses on Geoscience and Remote Sensing by the Italian Chapter of the IEEE Geoscience and Remote Sensing Society. Continue Reading


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An RSLab study published in 𝘕𝘢𝘵𝘶𝘳𝘦 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 demonstrates— for the first time — the presence of a massive cave at the bottom of a Venusian skylight in the Nyx Mons region.

This discovery was made possible by reprocessing synthetic aperture radar data acquired in the 1990s by the Magellan instrument onboard NASA’s Magellan spacecraft.

This work marks the first step in an exciting journey toward exploring the subsurface of Venus — a frontier that will be further investigated by ESA’s EnVision mission and NASA’s VERITAS missions.

📄 Read the paper: https://lnkd.in/dMN5EvrS

📄The paper since its publication is in the Editors’ Highlights webpage of Nature Communications

🌍 The research is receiving strong worldwide online attention — currently ranked 𝟭𝘀𝘁 𝗼𝘂𝘁 𝗼𝗳 𝟭,𝟯𝟰𝟲 𝘁𝗿𝗮𝗰𝗸𝗲𝗱 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀 of similar publication age in 𝘕𝘢𝘵𝘶𝘳𝘦 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴.

You can find below some samples from the huge  number of national and international media who reported the discovery.

INTERNATIONAL PRESS

Reuters El Pais CNN Brasil
The Sun The Japan Times India Today
Science News Eos La Nacion
USA Today The Telegraph The Japan News
ZME Science The Tribune India The Debrief
Frankfurter Allgemeine Focus CNN Greece
El Cronista Science Daily Space.com
Heraldo Gazeta De S. Paulo Herald Tribune
Slate SciTechDaily La Vanguardia
Agencia SINC SWI Phys.org
Science Blog mdzl Antena 3
Folha de Curitiba Revista Galileu Bioengineer.org
Channel News Asia Alparslandiyari NTV
Sci News Space Daily Universe Magazine
Florida Today Tribuna de Mexico El Expreso
Caliber Eurasia Review O Globo
Urgente 24 The Brighter Side NTN 24
Gizmodo Bez Kabli Barta 24
Kulture Geek Scinexx Scientias
Stuttgarter Zeitung Los Titulares Radiocable
Spacepage Lab Roots Azernews
The Watchers Menafn DD News
IDR Geekspin Momarandu
Universe Today El Tiempo Haber Hergun
Future Zone uy.press Space Connect
SSB Crack La Sexta La Republica
Winfuture Ecologia Verde Vice
Futurism Tech Times Science Vega
Ary News The News Publimetro
Periodico la Taza Mystery Planet Earth.com
FM Plus Cyprus Mail Zarpa News
EarthSky Cuaderno de Cultura Cientifica Radio Hache
Novaator Econews El Debate
Science News Explores

Okdiario

WIRED

as

Catraca Livre

Earth.com

VIETNAM.VN

Science News Explores

Daily Galaxy

 

NATIONAL PRESS

la Repubblica il Mattino Libero
il Messaggero Corriere Adriatico ANSA
AGI Media INAF Global Science
Scintilena Astrospace Astrospace Orbit
Corriere Univ Geopop il Denaro
HDblog Economia dello Spazio il T Quotidiano
L’Adige il Dolomiti Vita Trentina
Tele Pace Nordest24 Trento Today


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On October 23, Gianmarco Perantoni has succesfully defended his PhD Thesis on “Robust Deep Learning Methodologies for Weakly Supervised Remote Sensing Image Classification“.

Congratulations to Gianmarco!


 

 

 

 


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RSLab was part of a debate on the future of humankind on the Moon, during the Bergamoscienza Science Festival, alongside Giovanni Caprara (Corriere della Sera) and Tiziana Cardone (Head of the Structures Section at European Space Agency).

The debate  explored the opportunities and challenges of returning to the Moon, from scientific discovery to technological innovation and the broader meaning of human presence beyond Earth.

The event was streamed live on the Corriere della Sera website. You can watch the full recording (in italian) here.

 

 

 


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Lorenzo Bruzzone gave a keynote talk at the International Conference AI for Science, held in Ljubljana, Slovenia (https://ai4science.si/).

It was a great opportunity to present and discuss the main open challenges of AI in the remote sensing domain, with a focus on Earth observation and planetary exploration.

 


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On June 18, Jing Zhang has succesfully defended her PhD Thesis on “Semantic Change Detection in Multitemporal Remote Sensing Images Using Deep Neural Networks”..

Congratulations to Jing!

.


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A major milestone has been reached by RIME (Radar for Icy Moon Exploration), the radar sounder aboard ESA’s JUICE (JUpiter ICy Moon Explorer) mission: its first focused radargram has been successfully generated.

This achievement confirms that RIME is functioning as expected, delivering high-quality radar data — a key step forward in preparing the instrument for its primary science phase at Jupiter’s icy moons.

The radargram was produced using data collected during a lunar flyby in August 2024. Remarkably, the region of the Moon scanned by RIME is the same area captured in the iconic “Earthrise” photograph taken by NASA astronaut William Anders during the Apollo 8 mission in 1968 — now seen from a completely new perspective.

🔗 Learn more:

 

First radargram from Juice’s RIME instrument


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On May 5–6, 2025, the RIME (Radar for Icy Moons Exploration) Science Team gathered to review progress and plan next steps for the radar instrument aboard ESA’s JUICE mission.

The meeting highlighted recent scientific and operational developments, including the successful activities carried out during the Lunar-Earth Gravity Assist—a key milestone that tested RIME’s systems and operations.

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