Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery
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DOI: 10.3389/fenvs.2025.1668746
Abstract: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, present spectral heterogeneity that challenges conventional classification methods. This study focuses on developing an… read more here.
Keywords: classification; using hyperion; urban forest; tree species ... See more keywords