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Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal


Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email:

Modeling the Land Use Change Process on the South Coast of the Caspian Sea Using Logistic Regression and Artificial Neural Network

Journal of Environmental Accounting and Management 8(2) (2020) 111--123 | DOI:10.5890/JEAM.2020.06.001

Ali Majnouni-Toutakhane

University of Bonab, Bonab, Iran

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The study aimed to model earth land use changing using logistic regression and multi-layer Perceptron artificial neural network in the South Coast of the Caspian Sea in Iran. Satellite Landsat images belonging to 1993, 2000, 2008 and 2017 has used. Modeling the potential of earth covering change was conducted using logistic regression and multi-layer Perceptron artificial neural network. Markov chain and a hard prediction model was used to forecast earth covering changes from 1993-2017 calibration method. Kappa coefficient results showed that regression (0.8657) has more accuracy compared to a multi-layer Percept.


We declare that there are no conflicts of interest in this article.


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