A hybrid machine learning approach to analyzing the impacts of urban development on land surface temperature and the urban heat island effect in Isfahan

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dc.contributor.authorMajid Javari
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:27:42Z
dc.date.available2026-03-22T14:27:42Z
dc.date.issued2025
dc.descriptionCitaciones: 2
dc.identifier.doi10.1007/s00704-025-05691-w
dc.identifier.urihttps://doi.org/10.1007/s00704-025-05691-w
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/46646
dc.language.isoen
dc.publisherSpringer Science+Business Media
dc.relation.ispartofTheoretical and Applied Climatology
dc.sourceNur University
dc.subjectUrban heat island
dc.subjectUrbanization
dc.subjectEnvironmental science
dc.subjectUrban climate
dc.subjectNormalized Difference Vegetation Index
dc.subjectClimate change
dc.subjectUrban planning
dc.subjectUrban climatology
dc.subjectMeteorology
dc.subjectThermal pollution
dc.titleA hybrid machine learning approach to analyzing the impacts of urban development on land surface temperature and the urban heat island effect in Isfahan
dc.typearticle

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