CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
The SKYNET project aims to enhance the estimation of ice volumes in Earth's glaciers using advanced deep learning techniques. By leveraging extensive satellite data and innovative modeling approaches, it seeks to provide more accurate assessments of glacier mass, which is crucial for understanding climate change impact…
Estimating the ice volume of Earth's glaciers is a grand challenge of Earth System science.
Besides being a critical parameter to model glacier evolution, knowledge of glacier volume is fundamental to quantify global sea level rise and available freshwater resources.
Under current global warming glaciers are losing mass, making improved glacier ice volume estimates a top-priority to constrain future climate scenarios.
Direct glacier ice volume estimates are limited by difficulty in directly meas…
UNIVERSITA CA' FOSCARI VENEZIA
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
LOS ANGELES UCLA SANTA BARBARA UCSB DAVIS UCD RIVERSIDE UCR SAN DIEGO UCSD SANTA CRUZ UCSC IRVIN
United States, Berkeley
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.