سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات161
تعداد شماره‌ها6,563
تعداد مقالات70,834
تعداد مشاهده مقاله124,928,937
تعداد دریافت فایل اصل مقاله98,153,098
Zoljoudi, Mojtaba, Naghdi, Karim, Moradi, Masoud, Taefee Feijani, Masoud. (1401). Quantitative Assessment of the Trends and Spatio-Temporal Variability of Vegetation Growth in Iran using Wavelet Transform and Statistical Approaches. , 6(1), -. doi: 10.22059/eoge.2022.336071.1109
Mojtaba Zoljoudi; Karim Naghdi; Masoud Moradi; Masoud Taefee Feijani. "Quantitative Assessment of the Trends and Spatio-Temporal Variability of Vegetation Growth in Iran using Wavelet Transform and Statistical Approaches". , 6, 1, 1401, -. doi: 10.22059/eoge.2022.336071.1109
Zoljoudi, Mojtaba, Naghdi, Karim, Moradi, Masoud, Taefee Feijani, Masoud. (1401). 'Quantitative Assessment of the Trends and Spatio-Temporal Variability of Vegetation Growth in Iran using Wavelet Transform and Statistical Approaches', , 6(1), pp. -. doi: 10.22059/eoge.2022.336071.1109
Zoljoudi, Mojtaba, Naghdi, Karim, Moradi, Masoud, Taefee Feijani, Masoud. Quantitative Assessment of the Trends and Spatio-Temporal Variability of Vegetation Growth in Iran using Wavelet Transform and Statistical Approaches. , 1401; 6(1): -. doi: 10.22059/eoge.2022.336071.1109

Quantitative Assessment of the Trends and Spatio-Temporal Variability of Vegetation Growth in Iran using Wavelet Transform and Statistical Approaches

Earth Observation and Geomatics Engineering
دوره 6، شماره 1، شهریور 2022    اصل مقاله (2.76 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22059/eoge.2022.336071.1109
نویسندگان
Mojtaba Zoljoudi1؛ Karim Naghdi* 2؛ Masoud Moradi3؛ Masoud Taefee Feijani4
1Department of Marine Meteorology & Physical Oceanography, Atmospheric Science & Meteorological Research Center
2Department of surveying Engineering, Islamic Azad University, Taft Branch, Taft, Yazd, Iran
3Iranian National Institute of Oceanography and Atmospheric Science
4Aerospace Research Institute (Ministry of Science, Research and Technology)
چکیده
In this research, the Spatio-temporal variability of vegetation growth was evaluated using Moderate Resolution Imaging Spectroradiometer (MODIS) Level 3 Enhanced Vegetation Index (EVI) at 1km resolution data products during 2003-2018 over Iran. The total variability, the amplitude of the annual phenological cycle, seasonal cycle peak, inter-annual variation, minimum level of variations, the timing of maximum vegetation, coefficient of variations, Sen's slope, Mann-Kendall and Hurst exponent indices were calculated as independent variables for all pixels. The results indicated that the variations of inter-annual cycles show a relatively stable trend, and relatively flat trend curves were observed for all types of vegetation in Iran. The seasonal phenological cycles were the most sources of intra-annual variations, and the maximum and minimum values were observed in mid-summer and early winter, respectively. The EVI peaks were observed in spring and summer and spatially have been distributed in 30.2% and 20.6% of the total areas. More than 44% of the total area showed stable vegetation coverages, and 1.7% of the total area showed a large amplitude of vegetation variations. About 89% of vegetated areas (37.7% of the total area) in the north, west, and southwest regions show improved sustainable variations with positive changes. The results show that about 5.5% of the vegetation coverage in the northeast and southwest was decreased. The presented analytical indices in this research are a cost-effective method for managing and predicting future environmental trends in developing regions at risk of desertification.
کلیدواژه‌ها
MODIS؛ Enhanced Vegetation Index؛ Mann-Kendall test؛ Hurst exponent؛ Land cover
آمار
تعداد مشاهده مقاله: 136
تعداد دریافت فایل اصل مقاله: 201





سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب