Application of deep learning to the sea level prediction from SAR altimetry time series
dc.contributor.author
Kiani Shahvandi, Mostafa
dc.date.accessioned
2021-04-28T11:33:05Z
dc.date.available
2021-01-05T11:42:34Z
dc.date.available
2021-02-25T19:57:02Z
dc.date.available
2021-04-28T11:33:05Z
dc.date.issued
2020
dc.identifier.uri
http://hdl.handle.net/20.500.11850/459468
dc.language.iso
en
en_US
dc.title
Application of deep learning to the sea level prediction from SAR altimetry time series
en_US
dc.type
Other Publication
ethz.notes
Method
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::09707 - Soja, Benedikt / Soja, Benedikt
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::09707 - Soja, Benedikt / Soja, Benedikt
en_US
ethz.date.deposited
2021-01-05T11:42:42Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-04-28T11:33:15Z
ethz.rosetta.lastUpdated
2022-03-29T06:54:11Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Application%20of%20deep%20learning%20to%20the%20sea%20level%20prediction%20from%20SAR%20altimetry%20time%20series&rft.date=2020&rft.au=Kiani%20Shahvandi,%20Mostafa&rft.genre=unknown&rft.btitle=Application%20of%20deep%20learning%20to%20the%20sea%20level%20prediction%20from%20SAR%20altimetry%20time%20series
Files in this item
| Files | Size | Format | Open in viewer |
|---|---|---|---|
|
There are no files associated with this item. |
|||
Publication type
-
Other Publication [2987]