Hyperspectral Monitoring Driven by Machine Learning Methods for Grassland Above-Ground Biomass

Above-ground biomass (AGB) is a key indicator for studying grassland productivity and evaluating carbon sequestration capacity; it is also a key area of interest in hyperspectral ecological remote sensing. In this study, we use data from a typical alpine meadow in the Qinghai–Tibet Plateau during th...

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Detalhes bibliográficos
Main Authors: Weiye Huang, Wenlong Li, Jing Xu, Xuanlong Ma, Changhui Li, Chenli Liu
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
Colecção:Remote Sensing
Assuntos:
hyperspectral
alpine grassland
above-ground biomass
machine learning
feature selection
interpretability
Acesso em linha:https://www.mdpi.com/2072-4292/14/9/2086
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