Machine learning enhances soil aggregate stability mapping for effective land management in a semi-arid region

dc.contributor.author	Khosravani, Pegah	de_DE
dc.contributor.author	Kebonye, Ndiye Michael	de_DE
dc.contributor.author	Scholten, Thomas	de_DE
dc.date.accessioned	2025-04-10T10:20:45Z
dc.date.available	2025-04-10T10:20:45Z
dc.date.issued	2024	de_DE
dc.identifier.uri	http://hdl.handle.net/10900/164079
dc.language.iso	en
dc.relation.uri	https://doi.org/10.3390/rs16224304	de_DE
dc.title	Machine learning enhances soil aggregate stability mapping for effective land management in a semi-arid region	de_DE
dc.type	Article	de_DE
utue.personen.pnd	Scholten, Thomas/187344825	de_DE
utue.publikation.seiten	1-19	de_DE
utue.personen.roh	Khosravani, Pegah	de_DE
utue.personen.roh	Moosavi, Ali Akbar	de_DE
utue.personen.roh	Baghernejad, Majid	de_DE
utue.personen.roh	Kebonye, Ndiye Michael	de_DE
utue.personen.roh	Roohollah Mousavi, Seyed	de_DE
utue.personen.roh	Scholten, Thomas	de_DE
dcterms.isPartOf.ZSTitelID	Remote sensing - Basel : MDPI,	de_DE
dcterms.isPartOf.ZS-Issue	22	de_DE
dcterms.isPartOf.ZS-Volume	16	de_DE
utue.publikation.seitengesamt	1 Online-Ressource	de_DE
utue.titel.verfasserangabe	Pegah Khosravani, Ali Akbar Moosavi, Majid Baghernejad, Ndiye M. Kebonye, Seyed Roohollah Mousavi and Thomas Scholten	de_DE
utue.publikation.abrufzeichen	t017	de_DE
utue.publikation.swbdatum	2503	de_DE
utue.artikel.ppn	1919070982	de_DE