SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction

dc.contributor.author	Kakhani, Nafiseh
dc.contributor.author	Scholten, Thomas
dc.date.accessioned	2025-02-26T11:17:44Z
dc.date.available	2025-02-26T11:17:44Z
dc.date.issued	2024
dc.identifier.issn	0196-2892
dc.identifier.uri	http://hdl.handle.net/10900/162543
dc.language.iso	en	en
dc.publisher	Piscataway : IEEE - Inst Electrical Electronics Engineers Inc	de_DE
dc.relation.uri	http://dx.doi.org/10.1109/TGRS.2024.3446042
dc.subject.ddc	550	de_DE
dc.subject.ddc	600	de_DE
dc.subject.ddc	610	de_DE
dc.title	SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction	de_DE
dc.type	Article	de_DE
utue.quellen.id	20241001000000_03359
utue.personen.roh	Kakhani, Nafiseh
utue.personen.roh	Rangzan, Moien
utue.personen.roh	Jamali, Ali
utue.personen.roh	Attarchi, Sara
utue.personen.roh	Alavipanah, Seyed Kazem
utue.personen.roh	Mommert, Michael
utue.personen.roh	Tziolas, Nikolaos
utue.personen.roh	Scholten, Thomas
dcterms.isPartOf.ZSTitelID	IEEE Transactions on Geoscience and Remote Sensing	de_DE
dcterms.isPartOf.ZS-Issue	Article 4509915	de_DE
dcterms.isPartOf.ZS-Volume	62	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet	Sonstige