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Modeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and Machine Learning

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dc.contributor.authorNasiri Vahid
dc.contributor.authorDarvishsefat Ali Asghar
dc.contributor.authorArefi Hossein
dc.contributor.authorGriess Verena
dc.contributor.authorSadeghi Seyed Mohammad Moein
dc.contributor.authorBorz Stelian Alexandru
dc.date.accessioned2025-09-06T12:28:40Z
dc.date.issued2022
dc.identifier.citationNasiri, V.; Darvishsefat, A.A.; Arefi, H.; Griess, V.C.; Sadeghi, S.M.M.; Borz, S.A. Modeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and Machine Learning. Remote Sens. 2022, 14, 1453. https:// doi.org/10.3390/rs14061453
dc.identifier.urihttps://repository.unitbv.ro/handle/123456789/527
dc.language.isoen_US
dc.titleModeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and Machine Learning
dc.typeArticle
dspace.entity.typePublication

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