Land capability evaluation of afforestation using Random Forest algorithm (Kan Watershed, Tehran)

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Oghnoum m.; FEGHHI J.; MAKHDOUM M.; MOGHADDAMNIA A.; ETEMAD V.

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Journal: FOREST RESEARCH AND DEVELOPMENT Year:2019 | Volume:5 | Issue:3 Page(s): 387-403

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Title

Land capability evaluation of afforestation using Random Forest algorithm (Kan Watershed, Tehran)

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Keywords

Boruta algorithmQ1

System analysisQ1

Artificial intelligenceQ2

Abstract

It is necessary to evaluate sustainable spatial allocation of afforestation. For this purpose, this study was conducted in the Kan watershed of Tehran province to assess the suitability of land for afforestation. First, suitable tree species were chosen based on land characteristics of study area and purpose of restoration. Then, the ecological demands of tree species were investigated and effective Indicators which affect the evaluation process were identified. After processing, classification and integration of spatial layers in GIS using the System analysis method, a random forest algorithm was trained and suitability map of afforestation was produced. Results show that Random Forest method has a high accuracy in predicting suitable areas for afforestation. Also, 2116 ha of study area is moderately suitable for afforestation. Based on Boruta algorithm Soil depth, growing season precipitation, elevation, soil texture, slope and aspect are considered as the most important to the least important features, respectively and it is not necessary to carry out weighting methods for evaluation of afforestation capability. Generally, Random Forest method can be used as a capable way to prepare ecological capability maps.

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APA: Copy

Oghnoum, m., FEGHHI, J., MAKHDOUM, M., MOGHADDAMNIA, A., & ETEMAD, V.. (2019). Land capability evaluation of afforestation using Random Forest algorithm (Kan Watershed, Tehran). FOREST RESEARCH AND DEVELOPMENT, 5(3 ), 387-403. SID. https://sid.ir/paper/263812/en

Vancouver: Copy

Oghnoum m., FEGHHI J., MAKHDOUM M., MOGHADDAMNIA A., ETEMAD V.. Land capability evaluation of afforestation using Random Forest algorithm (Kan Watershed, Tehran). FOREST RESEARCH AND DEVELOPMENT[Internet]. 2019;5(3 ):387-403. Available from: https://sid.ir/paper/263812/en

IEEE: Copy

m. Oghnoum, J. FEGHHI, M. MAKHDOUM, A. MOGHADDAMNIA, and V. ETEMAD, “Land capability evaluation of afforestation using Random Forest algorithm (Kan Watershed, Tehran),” FOREST RESEARCH AND DEVELOPMENT, vol. 5, no. 3 , pp. 387–403, 2019, [Online]. Available: https://sid.ir/paper/263812/en

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