Optimizing Empirical and Hybrid Modeling for Advanced Canopy Chlorophyll and Nitrogen Retrieval Technique Using EnMAP Data

Optimizing Empirical and Hybrid Modeling for Advanced Canopy Chlorophyll and Nitrogen Retrieval Technique Using EnMAP Data

This study evaluates empirical and hybrid physical models for estimating canopy chlorophyll content (CCC) and canopy nitrogen content (CNC) using hyperspectral imagery from the Environmental Mapping and Analysis Program (EnMAP) over Michigan's Kellogg Biological Station in summer 2023. In the e...

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Detalhes bibliográficos
Principais autores: Mir Md Tasnim Alam, Anita Simic Milas, Jochem Verrelst, Qing Tian, Alia Soleil Kripal, Henry Poku Osei, Md Atiqur Rahman
Formato: Artigo
Idioma:English
Publicado em: Elsevier 2025-04-01
coleção:Environmental Challenges
Assuntos:
ENMAP
Hyperspectral imagery
Canopy chlorophyll
Canopy nitrogen
Hybrid radiative transfer model
Machine learning
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2667010025000344

Internet

http://www.sciencedirect.com/science/article/pii/S2667010025000344

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