Hg and As pollution in the soil-plant system evaluated by combining multispectral UAV-RS, geochemical survey and machine learning

dc.contributor.author	Salgado Fernández, Lorena
dc.contributor.author	López Sánchez, Carlos Antonio
dc.contributor.author	Colina Vuelta, Arturo
dc.contributor.author	Baragaño Coto, Diego
dc.contributor.author	Forján Castro, Rubén
dc.contributor.author	Rodríguez Gallego, José Luis
dc.date.accessioned	2023-11-07T09:58:37Z
dc.date.available	2023-11-07T09:58:37Z
dc.date.issued	2023
dc.identifier.citation	Environmental Pollution, 333 (2023); doi:10.1016/j.envpol.2023.122066
dc.identifier.issn	0269-7491
dc.identifier.uri	https://hdl.handle.net/10651/70137
dc.description.sponsorship	University of Oviedo and Banco Santander [MCI-20-PID2019-106939GB-I00, PAPI-21-PF-27]; NANOCAREM (AEI/Spain); FEDER/EU [MCI-20-PID2019-106939GB-I00]; University of Oviedo [PAPI-21-PF-27]; Banco Santander; [MU-21-UP2021-030 32892642]
dc.language.iso	eng
dc.relation.ispartof	Environmental Pollution
dc.rights	© 2023 Los autores
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163865520&doi=10.1016%2fj.envpol.2023.122066&partnerID=40&md5=165dd25e1fd5ecb5ec576fb2fd93571b
dc.title	Hg and As pollution in the soil-plant system evaluated by combining multispectral UAV-RS, geochemical survey and machine learning
dc.type	journal article
dc.identifier.doi	10.1016/j.envpol.2023.122066
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.envpol.2023.122066
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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