Investigation and prediction on Forests Covers Changes Using Fuzzy Object-Based Satellite Image Classification and CA-Markov (case study: City of Romeshkan)

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Zandi Rahman; Shahabi Hazhar; AKBARI EBRAHIM

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Paper Information

Journal: JOURNAL OF ENVIRONMENTAL RESEARCH AND TECHNOLOGY Year:2020 | Volume:4 | Issue:6 Page(s): 103-114

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Information Journal Paper

Title

Investigation and prediction on Forests Covers Changes Using Fuzzy Object-Based Satellite Image Classification and CA-Markov (case study: City of Romeshkan)

Author(s)

Zandi Rahman | Shahabi Hazhar | AKBARI EBRAHIM | Issue Writer Certificate

Keywords

Forest cover

Object-Based image classification

CAMarkov

Landsat

Romeshkan

Abstract

Forest is a valuable heritage and one of the important factors in the ecosystem of each area that in addition to using and exploiting them, they should be preserved. Zagros’ forests, especially in Lorestan province due to negligence have been destroyed throughout past years. The aim of this research is to investigation, detect and modeling Romeshkan’ s forests’ cover changes. To do this, first changes that were taken place between 1987-2017 were extracted by satellite Landsat images and using Fuzzy Object-Based classification method, then, were classified in 5 classes (Agriculture, Forest, Range, water and Residential). Finally, classification results show that there is a sharp decrease of forested areas (81. 17 km 2 ) and an increase of Range and Farmlands over past 30 years in the forest area. In a period of 1987-2002 Forest cover of the study area had not faced major changes, but most of the rangelands turned to farmlands. While in the second period from 2002 onwards Forest cover dramatically dipped and its area decreased from 122. 58 km 2 2 to 43. 42 km in 2017, which the rate of Forest covers decrement was around 79. 16 km 2. Moreover, in order to predict Forest cover changes in the future CA-Markov model was applied that indicates 10. 70% of current Forest covers will be reduced in 2030, and the main changes will be occurred between forest classes to farmlands and rangelands classess by 6. 901 and 9. 172 km 2, respectively.

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APA: Copy

Zandi, Rahman, Shahabi, Hazhar, & AKBARI, EBRAHIM. (2020). Investigation and prediction on Forests Covers Changes Using Fuzzy Object-Based Satellite Image Classification and CA-Markov (case study: City of Romeshkan). JOURNAL OF ENVIRONMENTAL RESEARCH AND TECHNOLOGY, 4(6 ), 103-114. SID. https://sid.ir/paper/387851/en

Vancouver: Copy

Zandi Rahman, Shahabi Hazhar, AKBARI EBRAHIM. Investigation and prediction on Forests Covers Changes Using Fuzzy Object-Based Satellite Image Classification and CA-Markov (case study: City of Romeshkan). JOURNAL OF ENVIRONMENTAL RESEARCH AND TECHNOLOGY[Internet]. 2020;4(6 ):103-114. Available from: https://sid.ir/paper/387851/en

IEEE: Copy

Rahman Zandi, Hazhar Shahabi, and EBRAHIM AKBARI, “Investigation and prediction on Forests Covers Changes Using Fuzzy Object-Based Satellite Image Classification and CA-Markov (case study: City of Romeshkan),” JOURNAL OF ENVIRONMENTAL RESEARCH AND TECHNOLOGY, vol. 4, no. 6 , pp. 103–114, 2020, [Online]. Available: https://sid.ir/paper/387851/en

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