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Aboveground Biomass Estimation of Colombian Cocoa Agroforestry Systems using Multispectral Images and Regression Methods

Context: Aboveground biomass (AGB) estimation for agricultural and environmental applications traditionally relies on time- consuming manual methods at ground level. Emerging approaches use remote sensing data evaluating spectral responses and vegetation indices in order to estimate the AGB more eff...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Claudia Victoria Correa Pugliese, Tatiana Carolina Gelvez Barrera, Laura Viviana Galvis Carreño, Edwin Mauricio Vargas Díaz, Jonathan Arley Monsalve Salazar, Ariolfo Camacho Velasco, Ivan Ramírez, Hoover Fabian Rueda Chacón
Format: Artigo
Sprache:Espanhol
Veröffentlicht: Universidad Distrital Francisco Jose de Caldas 2025-12-01
Schriftenreihe:Tecnura
Schlagworte:
aboveground biomass estimation
agroforestry systems
cocoa
multispectral images
regression methods
Online-Zugang:https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/22579
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