Seyedeh Kosar Hamidi

Analysis of plot-level volume increment models developed from machine learning methods applied to an uneven-aged mixed forest

Seyedeh Kosar Hamidi, Eric K. Zenner, Mahmoud Bayat et al. · Annals of Forest Science · 2021 · 41 citations · Full text

Engineering, Forest Biomass, Data Science +9

Estimation of Tree Heights in an Uneven-Aged, Mixed Forest in Northern Iran Using Artificial Intelligence and Empirical Models

Mahmoud Bayat, Pete Bettinger, Sahar Heidari et al. · Forests · 2020 · 40 citations · Full text

Engineering, Forest Biometrics, Land Use +20

A Combination of Biotic and Abiotic Factors and Diversity Determine Productivity in Natural Deciduous Forests

Mahmoud Bayat, Pete Bettinger, Sahar Heidari et al. · Forests · 2021 · 34 citations · Full text

Environmental Monitoring, Engineering, Diversity Determine Productivity +17

Assessing Biotic and Abiotic Effects on Biodiversity Index Using Machine Learning

Mahmoud Bayat, Harold E. Burkhart, Manouchehr Namiranian et al. · Forests · 2021 · 28 citations · Full text

Biodiversity Loss, Biodiversity, Tree Diversity +12

Development of individual tree growth and yield model across multiple contrasting species using nonparametric and parametric methods in the Hyrcanian forests of northern Iran

Seyedeh Kosar Hamidi, Aaron R. Weiskittel, Mahmoud Bayat et al. · European Journal of Forest Research · 2021 · 26 citations

Engineering, Tree Growth, Forestry +8