https://doi.org/10.7557/18.6284
Continuing the work on getting more information out of the CryoSat-2 waveforms, Martijn Vermeer, David Völgyes, Malcolm McMillan, and Daniele Fantin published a paper entitled “CryoSat-2 waveform classification for melt event monitoring“.
The results of this study show the potential of utilizing machine learning techniques for CryoSat-2 (CS2) radar altimeter waveform classification in order to derive melt information.
On 23rd June 2022, the EO4SMB consortium presented results from the study at ESA’s webinar on Space for a Greener Maritime Future. The cross-disciplinary webinar explored how ESA space-based technology solutions can support the green transition Read more…
The poster was presented at the nordicaimeet (https://nordicaimeet.com/) which is a symposium for young AI researchers in the nordic organized by the Norwegian AI research consortium – Nora (https://www.nora.ai/). As stated on their website the Read more…
EO4SMB has published a new study in Nature Communications, demonstrating the ability of CryoSat-2 radar altimetry to map Greenland Ice Sheet run off. This represents the successful completion of one of the core objectives of the Read more…