Instantaneous sea surface height prediction using satellite altimetry and deep learning
statement of authorship
Saeed Rajabi-Kiasari, Nicole Delpeche-Ellmann, Artu Ellmann
source
Living Planet Symposium (LPS25)
publisher
year of publication
series
Session A.07.05: Monitoring and predicting surface water and flood dynamics
conference name, date
Living Planet Symposium (LPS25) : From Observation to Climate Action and Sustainability for Earth, June 23-27, 2025
conference location
Vienna, Austria
scientific publication
teaduspublikatsioon
TalTech department
language
English
subject term
keyword
classifier
Rajabi-Kiasari, S., Delpeche-Ellmann, N., Ellmann, A. Instantaneous sea surface height prediction using satellite altimetry and deep learning // Living Planet Symposium (LPS25). : European Space Agency, 2025. (Session A.07.05: Monitoring and predicting surface water and flood dynamics). https://lps25.esa.int/