Investigation and comparison of vegetation index changes in two different times using remote sensing in southern Kerman province

Barkhori, Saeid; Eskandari damaneh, Hamed; Salajegheh, Sosan; Javaheri, Kimia

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Volume 13, Issue 26 (9-2025)

PEC 2025, 13(26): 39-54

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Investigation and comparison of vegetation index changes in two different times using remote sensing in southern Kerman province

Saeid Barkhori ^*

, Hamed Eskandari damaneh²

, Sosan Salajegheh²

, Kimia Javaheri³

Department of Ecological Engineering, Faculty of Natural Resources, University of Jiroft, Jiroft, Iran. & Department of Ecological Engineering, Faculty of Natural Resources, University of Jiroft, Jiroft, Iran., Department of Ecological Engineering, Faculty of Natural Resources, University of Jiroft, Jiroft, Iran. , barkhori.s@gmail.com
2- Department of Planning – Management and HSE, College of Environment, University of Tehran Iran.
3- Department of Arid and Mountainous Regions Reclamation, Faculty of Natural Resources, University of Tehran, Iran.

Abstract: (1320 Views)

Given the importance of vegetation cover and its significant role in sustaining dryland ecosystems, assessing changes in vegetation cover using remote sensing techniques can provide valuable insights into ecosystem health. In this study, a time series of the Enhanced Vegetation Index (EVI) was generated for the period 2001–2022 in southern Kerman Province using MODIS satellite data. The Kendall trend test was applied using TerrSet software to analyze the trend of EVI changes over time. Subsequently, the ETM model in TerrSet was used to evaluate the correlation of EVI changes using the Pearson correlation coefficient, along with the intensity of change.The findings revealed that the highest long-term monthly average EVI occurred in April, which led to the selection of this month as the reference period for evaluating EVI trends over the 22-year study period, as well as for calculating the slope and correlation of changes over time. The results showed that 44.16% of the study area exhibited a statistically significant decreasing trend in EVI (p > 99%), covering the largest portion of the region. The very strong correlation categoy and the moderate slope one accounted for 20.89% and 22.95% of the study area, respectively, representing the most extensive ones. Moreover, the highest percentages of the "very high change intensity" category were observed in Kerman and Manujan counties, with 36.58% and 35.48% , respectively, indicating significant vegetation cover degradation in these areas. Considering recent concerns about ecosystem trends due to unsustainable land use and intensified by consecutive droughts, evaluating drought impacts on vegetation cover can contribute to improved rangeland management and sustainable livestock grazing practices.

Article number: 4

Keywords: Change intensity, Kendall, Pearson correlation, EVI.

Full-Text [PDF 1810 kb] (572 Downloads)

Type of Study: Research | Subject: Special
Received: 2024/07/18 | Accepted: 2024/08/20 | Published: 2025/09/15

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Barkhori S, Eskandari damaneh H, Salajegheh S, Javaheri K. Investigation and comparison of vegetation index changes in two different times using remote sensing in southern Kerman province. PEC 2025; 13 (26) : 4
URL: http://pec.gonbad.ac.ir/article-1-986-en.html

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