Estimation of aboveground biomass from spectral and textural characteristics of paddy crop using UAV-multispectral images and machine learning techniques

Estimation of aboveground biomass from spectral and textural characteristics of paddy crop using UAV-multispectral images and machine learning techniques

Multispectral (MS) images offer essential spectral information for monitoring paddy crops’ Aboveground-biomass (AGB), but efficiency decreases due to background materials and high canopy biomass. Texture reveals canopy structure and can be employed in vegetation-indices (VIs) to enhance monitoring a...

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Bibliographic Details
Main Authors: Sudarsan Biswal, Navneet Pathak, Chandranath Chatterjee, Damodhara Rao Mailapalli
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Geocarto International
Subjects:
Aboveground biomass
UAV-multispectral images
vegetation-indices
normalised difference texture indices (NDTIs), paddy crop
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2024.2364725
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