Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic Sea
author
Mostafavi, Majid
Delpeche-Ellmann, Nicole Camille
Ellmann, Artu
statement of authorship
Majid Mostafavi, N. Delpeche-Ellmann, A. Ellmann
source
Nordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session
publisher
Nordic Geodetic Commission
year of publication
2022
pages
26 l.
conference name, date
Nordic Geodetic Commission General Assembly ; 5-8.9.2022
conference location
Copenhagen, Denmark
url
https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf
subject term
topograafia
geoid
tehisõpe
satelliitnavigatsioonisüsteemid
subject of location
Läänemeri
keyword
absolute dynamic topography
Baltic Sea
geoid model
machine learning
satellite altimetry
tide gauge
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
5.2
TalTech department
ehituse ja arhitektuuri instituut
küberneetika instituut
language
inglise