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

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

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

(2020) Mahmoud Bayat et al.   Forests

An assessment of height–diameter growth variation in an unmanaged Fagus orientalis-dominated forest

(2019) Charles P.-A. Bourque et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran

(2019) Bayat et al.   Remote Sensing

Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran

(2019) Mahmoud Bayat et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran

(2019) Saeid Janizadeh et al.   Sustainability

A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping

(2018) A-Xing Zhu et al.   CATENA

Estimation of mortality and survival of individual trees after harvesting wood using artificial neural networks in the amazon rain forest

(2018) Leonardo Pequeno Reis et al.   ECOLOGICAL ENGINEERING

Artificial neural networks: Modeling tree survival and mortality in the Atlantic Forest biome in Brazil

(2018) Samuel José Silva Soares da Rocha et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prognoses of diameter and height of trees of eucalyptus using artificial intelligence

(2018) Giovanni Correia Vieira et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessment of biomass and net primary productivity of a dry tropical forest using geospatial technology

(2018) Tarun Kumar Thakur et al.   JOURNAL OF FORESTRY RESEARCH

Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components

(2018) L. Benali et al.   RENEWABLE ENERGY

Optimal management of naturally regenerating uneven-aged forests

(2017) Ankur Sinha et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Neural network-based modelling for forest biomass assessment

(2017) Subrata Nandy et al.   Carbon Management

Prognosis on the diameter of individual trees on the eastern region of the amazon using artificial neural networks

(2016) Leonardo Pequeno Reis et al.   FOREST ECOLOGY AND MANAGEMENT

Comparison of stem taper models for the four tropical tree species in Mount Makiling, Philippines

(2016) Roscinto Ian C. Lumbres et al.   Journal of Mountain Science

Comparison of data mining and allometric model in estimation of tree biomass

(2015) Carlos R. Sanquetta et al.   BMC BIOINFORMATICS

Landscape Variation in Tree Species Richness in Northern Iran Forests

(2015) Charles P.-A. Bourque et al.   PLoS One

Using JABOWA-3 for forest growth and yield predictions under diverse forest conditions of Nova Scotia, Canada

(2014) M. Irfan Ashraf et al.   FORESTRY CHRONICLE

Integrating biophysical controls in forest growth and yield predictions with artificial intelligence technology

(2013) M. Irfan Ashraf et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Productivity and optimal management of the uneven-aged hardwood forests of Hyrcania

(2013) Mohmoud Bayat et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Subpixel Urban Land Cover Estimation

(2013) Jeffrey T. Walton   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Forest attribute imputation using machine-learning methods and ASTER data: comparison of k-NN, SVR and random forest regression algorithms

(2012) Shaban Shataee et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimating forest attribute parameters for small areas using nearest neighbors techniques

(2011) Ronald E. McRoberts   FOREST ECOLOGY AND MANAGEMENT

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comparison of nearest neighbour approaches for small area estimation of tree species-specific forest inventory attributes in central Europe using airborne laser scanner data

(2010) Johannes Breidenbach et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

An individual-tree diameter growth model for managed uneven-aged oak-shortleaf pine stands in the Ozark Highlands of Missouri, USA

(2010) John M. Lhotka et al.   FOREST ECOLOGY AND MANAGEMENT

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes

(2010) Xiaowei Yu et al.   Remote Sensing

Estimating tree bole volume using artificial neural network models for four species in Turkey

(2009) Ramazan Özçelik et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Reproductive mode of central EuropeanFusarium graminearumandF. culmorumpopulations

(2008) Beáta Tóth et al.   CEREAL RESEARCH COMMUNICATIONS

Tree size distributions in an old-growth temperate forest

(2008) Xugao Wang et al.   OIKOS