Enhanced Land Subsidence Interpolation through a Hybrid Deep Convolutional Neural Network and InSAR Time Series
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Enhanced Land Subsidence Interpolation through a Hybrid Deep Convolutional Neural Network and InSAR Time Series ; day:04 ; month:06 ; year:2024 ; pages:1-24 ; extent:24
Geoscientific model development discussions ; (04.06.2024), 1-24 (gesamt 24)
- Urheber
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Azarm, Zahra
Mehrabi, Hamid
Nadi, Saeed
- DOI
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10.5194/gmd-2024-15
- URN
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urn:nbn:de:101:1-2406060414382.337384428859
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:50 MESZ
Datenpartner
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Beteiligte
- Azarm, Zahra
- Mehrabi, Hamid
- Nadi, Saeed
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