The nominating institution CUHK on the breakthrough:

The cryosphere, the planet’s frozen parts, has undergone rapid warming in recent decades, posing profound threats to people and the Earth systems which are closely connected to all the UN SDGs. With innovative use of AI, computer vision, deep learning, and remote sensing for detecting, characterizing, and monitoring changes of the glaciers and the frozen ground from big earth observation data, the project transforms our understanding of the polar changes and their global impacts.

Tags: Artificial Intelligence, Climate change, Environment & Nature.

Lin Liu is an Associate Professor of Earth System Science at the Chinese University of Hong Kong (CUHK). He studied at Wuhan University for his bachelor’s degree and got his Ph.D. in Geophysics from the University of Colorado. Before joining CUHK in 2014, he was a George Thompson Postdoc Fellow at Stanford University. His research applies a wide range of geodetic, geophysical, remote sensing, and machine learning techniques to the cryospheric systems, including permafrost, glaciers, and ice sheets, aiming to quantify and understand their changes in a warming climate.

Further Activities to have a look at

We use cookies and other technologies to collect data about your use of our site and about your browser, device and location. We process this data to help us understand how the site is used and to personalize our content and the advertising you see on this and other sites we also share this data with advertising, social media and analytics partners for the same purposes. By choosing “Accept All” you agree that we store cookies on your device and process the data for the aforementioned purposes . You may revoke your consent at any time by choosing the respective settings. For more information on the processing of personal data and what specific services we use see our Privacy Policy

Privacy Preference Center

We use cookies and other technologies to collect data about your use of our site and about your browser, device and location. We process this data to help us understand how the site is used and to personalize our content and the advertising you see on this and other sites we also share this data with advertising, social media and analytics partners for the same purposes. By choosing “Accept All” you agree that we store cookies on your device and process the data for the aforementioned purposes . You may revoke your consent at any time by choosing the respective settings. For more information on the processing of personal data and what specific services we use see our Privacy Policy

Necessary Cookies

These cookies are required to provide you with our site and its functions. Since storing these cookies is necessary for the provision of our site and its functions, you cannot disable them. If you block these cookies via you browser settings our site may not function properly.

Analyse Cookies

These cookies enable us to use website analytics in order to improve our site or provide you with personalized content. They may be set by us or by third party providers whose services we have added to our pages.

Marketing Cookies

These cookies enable us to use online marketing and advertising in order to provide you on this or on other sites with personalized advertisement. They may be set by us or by third party providers whose services we have added to our pages.