Improving forest above-ground biomass estimation using genetic-based feature selection from Sentinel-1 and Sentinel-2 data (case study of the Noor forest area in Iran)

Moghimi, Armin; Tavakoli Darestani, Ava; Mostofi, Nikrouz; Fathi, Mahdiyeh; Amani, Meisam

doi:10.1016/j.kjs.2023.11.008

Kuwait Journal of Science

2024

DOI: 10.1016/j.kjs.2023.11.008

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Improving forest above-ground biomass estimation using genetic-based feature selection from Sentinel-1 and Sentinel-2 data (case study of the Noor forest area in Iran)

Armin Moghimi,

Ava Tavakoli Darestani,

Nikrouz Mostofi

et al.

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Cited by 6 publications

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Improving forest above-ground biomass estimation using genetic-based feature selection from Sentinel-1 and Sentinel-2 data (case study of the Noor forest area in Iran)

Cited by 6 publications

References 37 publications

Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China

Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China

Obtaining estimation algorithms for water quality variables in the Jaguari-Jacareí Reservoir using Sentinel-2 images

A systematic review of the application of remote sensing technologies in mapping forest insect pests and diseases at a tree-level

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