Analyzing Accuracy of the Power Functions for Modeling Aboveground Biomass Prediction in Congo Basin Tropical Forests

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ISSN Print: 2163-0429
ISSN Online: 2163-0437
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"Analyzing Accuracy of the Power Functions for Modeling Aboveground Biomass Prediction in Congo Basin Tropical Forests"
written by Noël Houédougbé Fonton, Vincent Medjibé, Adrien Djomo, Josiane Kondaoulé, Vivien Rossi, Alfred Ngomanda, Hervé Maïdou,
published by Open Journal of Forestry, Vol.7 No.4, 2017

has been cited by the following article(s):

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[6]	Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data
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[7]	A Review of Terrestrial Carbon Assessment Methods Using Geo-Spatial Technologies with Emphasis on Arid Lands
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[8]	Single-species allometric equations for above-ground biomass of most abundant long-lived pioneer species in semi-deciduous rain forests of the central region of …
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[9]	Allometric equations coupled with remotely sensed variables to estimate carbon stocks in date palms
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[10]	Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso
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[11]	Non-Conventional Methods as a New Alternative for the Estimation of Terrestrial Biomass and Carbon Sequestered
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[12]	Allometric equations for estimating oil palm stem biomass in the ecological context of Benin, West Africa
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[1]	Species-Specific Allometric Equations, Biomass Expansion Factor, and Wood Density of Native Tree Species in the Dry Afromontane Forest of Ethiopia International Journal of Forestry Research, 2023 DOI:10.1155/2023/5572048

[2]	Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data Forests, 2021 DOI:10.3390/f12060692

[3]	Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso Journal of Forestry Research, 2019 DOI:10.1007/s11676-019-00955-4

[4]	Allometric equations for estimating oil palm stem biomass in the ecological context of Benin, West Africa Trees, 2018 DOI:10.1007/s00468-018-1742-8

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