Bayesian Change Point Detection of Vegetation Cover Dynamics of Akure Forest Reserve, Ondo State in Southwestern, Nigeria

Bayesian Change Point Detection of Vegetation Cover Dynamics of Akure Forest Reserve, Ondo State in Southwestern, Nigeria

This study uses satellite acquired vegetation index data to monitor changes in Akure forest reserve. Enhanced Vegetation Index (EVI) time series datasets were extracted from Landsat images; extraction was performed on the Google Earth Engine (GEE) platform. The datasets were analyzed using Bayesian...

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Bibliographic Details
Main Authors: P.A. Ukoha, S.J. Okonkwo, A.R. Adewoye
Format: Article
Language:English
Published: Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) 2021-11-01
Series:Journal of Applied Sciences and Environmental Management
Subjects:
Bayesian Change Point, EVI, MCMC, Random Fores
Online Access:https://www.ajol.info/index.php/jasem/article/view/218038

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