2018
DOI: 10.15666/aeer/1604_38613872
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Identification of Vegetation Coverage Seasons in Iran Using Enhanced Vegetation Index (Evi)

Abstract: Vegetation coverage seasons are affected by climatic elements and changes in climatic elements influence the vegetation growth period. The purpose of this research is to identify the vegetation coverage seasons of Iran, with the help of the Enhanced Vegetation Index (EVI). In this research, 16-day data of Iran's Enhanced Vegetation Index (EVI) was downloaded from MODIS Aqua website from July 14, 2002 to March 14, 2015. Then, on the basis of nearly 10 billion cells, the long-term mean of the 16day EVI was calcu… Show more

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Cited by 4 publications
(3 citation statements)
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“…Based on the analysis of almost 10 billion cells for 2002-2015, 16-days EVI was calculated. The study revealed territorial and seasonal differences in plant communities in the Khuzestan plains, and also in the southern part of Iran (Sobhani et al, 2018).…”
Section: Introductionmentioning
confidence: 85%
See 1 more Smart Citation
“…Based on the analysis of almost 10 billion cells for 2002-2015, 16-days EVI was calculated. The study revealed territorial and seasonal differences in plant communities in the Khuzestan plains, and also in the southern part of Iran (Sobhani et al, 2018).…”
Section: Introductionmentioning
confidence: 85%
“…They determined that the distribution of four ecological groups of plants in the studied territory is mostly related to type of soil, clay content in soil, total nitrogen, organic substances, phosphorus and exchangeable bases; lower effects on the vegetation composition were exerted by height above sea level, surface angle, percentages of sand and silt, C/N ratio and pH (Rad & Shafiei, 2010). Sobhani et al (2018) studied the seasonal changes in the vegetative cover of Iran using Enhanced Vegetation Index (EVI). Based on the analysis of almost 10 billion cells for 2002-2015, 16-days EVI was calculated.…”
Section: Introductionmentioning
confidence: 99%
“…The "specialization" of satellite images as a source of information is associated with wide possibilities for analyzing the state and dynamics of agrocenoses of large regions with an area of tens of thousands of square kilometers, with a distraction from local variability of vegetation factors. The experience of satellite filming for sustainable agriculture in Central Russia is relatively small, but at the same time, it is interesting for the wide variety of edaphic conditions and the instability of weather conditions both within the growing season and in a number of years (Biewer et al, 2009;Grzegozewski et al, 2017;Sarmah et al, 2018;Sobhani et al, 2018).…”
Section: Introductionmentioning
confidence: 99%