Estimating the ice volume of Earth's glaciers via Artificial Intelligence and remote sensing

Project Information

SKYNET

Grant agreement ID: 101066651

DOI

10.3030/101066651

EC signature date 18 May 2022

Start date 1 October 2023

End date 30 September 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 288 859,20

Coordinated by

UNIVERSITA CA' FOSCARI VENEZIA
Italy

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cyclefor all data sets that will be collected, processed or generated by the action. It is adocument describing what data will be collected, processed or generated andfollowing what methodology and standards, whether and how this data will beshared and/or made open, and how it will be curated and preserved

Publications

Peer reviewed articles (1)

A gradient-boosted tree framework to model the ice thickness of the world's glaciers (IceBoost v1.1)

Author(s): N. Maffezzoli; N. Maffezzoli; N. Maffezzoli; E. Rignot; E. Rignot; C. Barbante; C. Barbante; T. Petersen; S. Vascon
Published in: Geoscientific Model Development, 2025, ISSN 1991-9603
Publisher: Copernicus Publications
DOI: 10.5194/GMD-18-2545-2025