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Information Journal Paper

Title

Evaluation Of Deforestation Process Using Artificial Neural Networks Algorithm (Case Study: Namin County Hazelnut Forests)

Pages

  63-74

Abstract

 Namin County in Ardebil province has a large lands of hazelnut forest species, that it is one of the rich habitats of Hyrcanian forests. Therefore, the purpose of this study is to evaluate the land degradation process of hazelnut forests in Namin County using Landsat, ETM+ images in 2007 and OLI images in 2017. Pre-processing was performed to enhance the spatial resolution of images using the IHS method to fusion both of the panchromatic and multispectral images of sensors. The images were classified into supervised and fused images with a spatial resolution of 15 m and performed with Artificial Neural Network algorithm. The results showed that out of the total classified study area in the year 2000, 9999. 06 ha belonged to forest land, which decreased to 9531. 74 ha compared to 2007. Also the area of these forests decreased from 7, 700 hectares from 2007 to 1396. Therefore, to preserve natural landscapes, land consolidation and legalization should be on the agenda of national experts and officials.

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    APA: Copy

    JAVAN, FARHAD, Hasani Moghaddam, Hasan, & Torabi, Hasan. (2020). Evaluation Of Deforestation Process Using Artificial Neural Networks Algorithm (Case Study: Namin County Hazelnut Forests). ENVIRONMENT AND INTERDISCIPLINARY DEVELOPMENT, 5(69 ), 63-74. SID. https://sid.ir/paper/390608/en

    Vancouver: Copy

    JAVAN FARHAD, Hasani Moghaddam Hasan, Torabi Hasan. Evaluation Of Deforestation Process Using Artificial Neural Networks Algorithm (Case Study: Namin County Hazelnut Forests). ENVIRONMENT AND INTERDISCIPLINARY DEVELOPMENT[Internet]. 2020;5(69 ):63-74. Available from: https://sid.ir/paper/390608/en

    IEEE: Copy

    FARHAD JAVAN, Hasan Hasani Moghaddam, and Hasan Torabi, “Evaluation Of Deforestation Process Using Artificial Neural Networks Algorithm (Case Study: Namin County Hazelnut Forests),” ENVIRONMENT AND INTERDISCIPLINARY DEVELOPMENT, vol. 5, no. 69 , pp. 63–74, 2020, [Online]. Available: https://sid.ir/paper/390608/en

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