Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques

Literals

• vcard:url
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85121130220&origin=inward
• bibo:doi
  • 10.1016/j.atmosres.2021.105962
• dcterms:contributor
  • de Arruda Moreira G., Sanchez-Hernandez G., Guerrero-Rascado J.L., Cazorla A., Alados-Arboledas L.
• dcterms:creator
  • de Arruda Moreira G.
• ou:eid
  • 2-s2.0-85121130220
• fabio:hasPublicationYear
  • 2022
• vivo:identifier
  • 2022-3091
• bibo:issn
  • 0169-8095
• dcterms:publisher
  • Atmospheric Research
• ou:tipoPublicacion
  • Article
• dcterms:title
  • Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques
• ou:urlScopus
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85121130220&origin=inward
• ou:vecesCitado
  • 18
• bibo:volume
  • 266

Typed Literals

• dcterms:created
  • 2022-03-01T00:00:00 (xsd:dateTime)

Relations

• ou:publicadaEnRevista
  • Atmospheric Research

Inverse Relations

• Has related: ou:tienePublicacion
  • GUADALUPE SÁNCHEZ HERNÁNDEZ