Volume 25, Issue 77 (6-2025)
jgs 2025, 25(77): 0-0 |
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Hedjazizadeh Z, Hosseini S M, karbalaee A R, layeghi S. Assessment of Drought Impact on Vegetation Changes in Hamadan over the Past Three Decades Using the TCI Model. jgs 2025; 25 (77)
URL: http://jgs.khu.ac.ir/article-1-4274-en.html
URL: http://jgs.khu.ac.ir/article-1-4274-en.html
1- Professor Department of Climatology Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran , hejazizadeh@khu.ac.ir
2- Associate Professor Professor (Assistant) at Sayyed Jamaleddin Asadabadi University
3- Assistant Professor Department of Climatology Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran
4- Master's degree student in meteorology, geography department, faculty of geographical sciences, Kharazmi University, Tehran, Iran.
2- Associate Professor Professor (Assistant) at Sayyed Jamaleddin Asadabadi University
3- Assistant Professor Department of Climatology Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran
4- Master's degree student in meteorology, geography department, faculty of geographical sciences, Kharazmi University, Tehran, Iran.
Abstract: (4502 Views)
Drought is a natural hazard that annually causes significant economic, social, environmental, and life-threatening damage in vast areas of the Earth. The damages caused by this phenomenon are intangible but very extensive and costly, which, if necessary, remote sensing techniques can be a useful tool in monitoring drought due to high temporal accuracy, wide spectral coverage, ease of access, no need for atmospheric correction and ground referencing. In recent years, the province of Hamedan has faced many problems due to frequent droughts. Therefore, the present study focused on investigating and monitoring drought in Hamedan province using the Temperature Condition index and its impact on the vegetation cover of the province using Advanced Very High Resolution Radiometer (AVHRR) and National Oceanic and Atmospheric Administration (NOAA) remote sensing data. First, the relevant data was extracted from the Nova star database, and finally, the spatiotemporal behavior of the vegetation cover drought index was examined on 1528 pixels in Hamedan province. The spatial resolution of the data used in this study is 4 kilometers. First, the relevant data were extracted from the Navstar database and ultimately, the spatiotemporal behavior of the drought index and vegetation cover was examined. The results indicate that drought has significantly increased the vegetation cover of Hamedan province based on remote sensing data. Kendall's coefficients indicate the presence of decreasing trends in vegetation cover at a 95 Percent confidence level. Only in May, June, and December has there been a slight decrease in vegetation cover within the extent of drought in the province. The spatial behavior analysis of the drought index on vegetation cover showed that February, March, as well as April have experienced more severe droughts within Hamedan province.
Type of Study: Research |
Subject:
climatology
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