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Investigation of the vegetation Cover Pattern Change Using MODIS Images and its Relation with Rainfall distribution

    Authors

    • Abdolhosain Mohammadi 1
    • Reza Ghazavi 2
    • rohollah Mirzaei 3
    • Hamidreza Naseri 4

    1 Dept of watershed management, faculty of natural science, University of kashan

    2 Dept of watershed management< University of Kashan

    3 Department of Environmental Science, Faculty of Natural Resources and Earth Sciences, Kashan University, Kashan, Iran

    4 Department of Desert Management, International Desert Research Center , University of Tehran, Iran

,

Document Type : Research Paper

10.22059/jrwm.2019.280679.1381
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Abstract

Rainfall is one of the most important factors affecting vegetation cover. Fluctuation and year-to-year variation of rainfall always affect vegetation cover patterns. The main aim of this study was to investigate and modeling the effects of rainfall changes on the variation of the vegetation cover in the Meyghan basin in Arak province using MODIS satellite images. NDVI, DVI, RVI and EVI indices were used to manifest vegetation covert variations linear and nonlinear relationship between vegetation cover changes and rainfall investigated simultaneously (May), with one and two month delay (April and March) ) during the statistical period of 2000-2017. The rainfall trend analysis was done using non-parametric Mann-Kendall test. According to the results, the minimum rainfall during the 18-year period was increased. Between vegetation indices, NDVI index showed the maximum and the average incremental trend. Between precipitation and vegetation, third-order non-linear relationship was stronger than linear, quadratic, power, logarithmic and exponential. The maximum correlation between DVI index and rainfall was obtained for synchronous times, while, the maximum correlation was observed between NDVI index and precipitation. The study with two month delay showed that the maximum correlation (0.52) was between the RVI index and precipitation. Vegetation modeling using simultaneous rainfall and delay of up to two months showed that the indices of DVI, RVI and EVI provided the best regression relationship at the same time, while the NDVI index had the best regression relationship with rainfall of two months ago.

Keywords

  • Precipitation
  • Vegetation change
  • I-Kendall test
  • Meghan's Desert
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Journal of Range and Watershed Managment
Volume 72, Issue 3
December 2019
Pages 843-852
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  • PDF 1.31 M
History
  • Receive Date: 09 June 2019
  • Revise Date: 08 December 2019
  • Accept Date: 01 December 2019
  • First Publish Date: 01 December 2019
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How to cite
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Statistics
  • Article View: 195
  • PDF Download: 174

APA

Mohammadi, A., Ghazavi, R., Mirzaei, R., & Naseri, H. (2019). Investigation of the vegetation Cover Pattern Change Using MODIS Images and its Relation with Rainfall distribution. Journal of Range and Watershed Managment, 72(3), 843-852. doi: 10.22059/jrwm.2019.280679.1381

MLA

Abdolhosain Mohammadi; Reza Ghazavi; rohollah Mirzaei; Hamidreza Naseri. "Investigation of the vegetation Cover Pattern Change Using MODIS Images and its Relation with Rainfall distribution". Journal of Range and Watershed Managment, 72, 3, 2019, 843-852. doi: 10.22059/jrwm.2019.280679.1381

HARVARD

Mohammadi, A., Ghazavi, R., Mirzaei, R., Naseri, H. (2019). 'Investigation of the vegetation Cover Pattern Change Using MODIS Images and its Relation with Rainfall distribution', Journal of Range and Watershed Managment, 72(3), pp. 843-852. doi: 10.22059/jrwm.2019.280679.1381

VANCOUVER

Mohammadi, A., Ghazavi, R., Mirzaei, R., Naseri, H. Investigation of the vegetation Cover Pattern Change Using MODIS Images and its Relation with Rainfall distribution. Journal of Range and Watershed Managment, 2019; 72(3): 843-852. doi: 10.22059/jrwm.2019.280679.1381

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