The Impact of Vegetation Cover Changes on Optimal Site Selection for Offensive and Defensive Operations )Case Study: Border Counties in Northwest Iran)

Document Type : Original Article

Authors

1 Department of Geography, Faculty of Basic Sciences, Imam Ali Officer University, Tehran, Iran.

2 Graduated with a PhD in Natural Resources Engineering

3 Assistant Professor, Department of Geography, Faculty of Basic Sciences, Imam Ali Military University, Tehran, Iran.

Abstract

Vegetation plays a very effective role in achieving the goals of passive defense, which can be used to protect material and human interests and hit the enemy during war. In this regard, the main goal of the current  research is to investigate the effect of vegetation changes on the location of optimal levels in order to carry out offensive and defensive operations using the weighted linear combination (WLC) method in the      northwestern border towns of the country. For this purpose, a multi-criteria decision-making method was used. At first, by studying the scientific sources, the main effective criteria were identified, then they were divided into two groups of factor and limitation criteria. Factor criteria were standardized using the fuzzy method in the TerrSet software environment and the limitation criteria were standardized using the Boolean method. Hierarchical analysis method was used to determine the weight of the criteria, and the layers were combined using the weighted linear combination (WLC) method. The weighting results showed that the  criteria of vegetation, slope direction, altitude above sea level and slope are the most important,             respectively. By entering the vegetation criteria of 2000 and 2022 into the WLC model, 70,853 and 66,271 hectares of suitable areas for offensive and defensive military operations were selected in the study area, respectively. In this connection, it can be concluded that the studied area had a richer forest cover in 2000 than in 2022, and in fact, the destruction of forests in that year was much less than now.
 

Keywords

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References

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History

  • Receive Date: 26 July 2024
  • Revise Date: 25 November 2024
  • Accept Date: 23 February 2025
  • Publish Date: 19 April 2025

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