Assessment of the relationship between drought Index And vegetation cover using remote sensing | ||
| Sustainable Earth Trends | ||
| مقاله 2، دوره 2، شماره 2، 2022، صفحه 15-24 اصل مقاله (758.33 K) | ||
| نوع مقاله: Original Research Article | ||
| شناسه دیجیتال (DOI): 10.48308/sustainearth.2022.102539 | ||
| نویسندگان | ||
| Hassan Khosravi* 1؛ Pouyan Dehghan Rahimabadi2؛ Hossein Azarnivand3؛ Sahar Ahmadi2 | ||
| 1Associate Professor Department of Arid and Mountainous Regions Reclamation, Faculty of Natural Resources, University of Tehran, Iran | ||
| 2Department of Arid and Mountainous Reclamation Regions, Faculty of Natural Resources, University of Tehran, Tehran, Iran | ||
| 3Faculty of Science, School of Biology & Environmental Science, Queensland University of Technology, Australia | ||
| چکیده | ||
| Drought is a natural phenomenon and the occurrence of this phenomenon is likely in all parts of the world. Drought depends on its severity and one of the its affected resources is vegetation and its conditions. This study tries to present the relationship between vegetation cover and drought in northwest of Iran. To assess the effect of drought on vegetation, the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI) and Standardized Precipitation Index (SPI) were determined during 2002–2016 using remote sensing and several software including ArcGIS 10.3, ENVI, SPSS Statistics 17.0 and Microsoft Excel. At the first the correlations between NDVI and VCI were compared with SPI for each year then they were compared with SPI of the last year using MODIS sensor. Pearson correlation was used to calculate the correlation between the indices. The results showed that the correlations between NDVI and VCI with the SPI of same year are 0.568 and 0.481 respectively, and also the correlations between NDVI and VCI with the SPI of last year are 0.377 and 0.269, respectively. These results demonstrate that the correlations between NDVI and VCI with the SPI of same year are more than the SPI of next year also the correlation between NDVI and SPI in the same year is more than NDVI and SPI of the last year which indicate that the density vegetation of each year is directly related to the amount of rainfall of same year. | ||
| کلیدواژهها | ||
| Drought Index؛ MODIS؛ Pearson correlation؛ Vegetation | ||
| مراجع | ||
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