TY - JOUR ID - 119453 TI - Climate Change impacts on vegetation and agricultural drought in the basin of Panjshir River in Afghanistan JO - Climate Change Research JA - CCR LA - en SN - AU - Rousta, Iman AU - Saberi, Mohammad-arif AU - Mahmood, Sayed Abd-raouf AU - Moghaddam, Mohammad Mansour AU - Olafsson, Haraldur AU - Krzyszczak, Jaromir AU - Baranowski, Piotr AD - Department of Geography, Yazd University, Iran AD - Institute for Atmospheric Sciences-Weather and Climate, and Department of Physics, University of Iceland and Icelandic Meteorological Office (IMO), Bustadavegur 7, IS-108, , Iceland AD - Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland Y1 - 2020 PY - 2020 VL - 1 IS - 4 SP - 77 EP - 88 KW - Panjshir basin KW - Agricultural drought KW - MODIS KW - SPI KW - TCI DO - 10.30488/ccr.2020.253624.1029 N2 - The agricultural drought, severely affecting human life, occurs unpredictably at different times with different intensities. The conventional methods for assessing drought often relay on indices obtained using meteorological data, but due to the low spatial coverage, incompleteness and inaccuracy of these data, meteorological indices cannot be considered as a comprehensive method. Therefore, it is suggested that remote sensing constitute more versatile approach, as it allows to assess the drought using the adequate spatial and temporal coverage for the study area. In the study, performed for the Panjshir river basin in Afghanistan, the 2010-2019 period is used to evaluate vegetation rate using NDVI data from MODIS. To calculate agricultural drought indices (DSI, VCI and TCI), May and June were selected, as the peak vegetation time occurs for these months. On the base of the remote sensing indicators it was shown that during the study period the drought conditions were normal in the region, except for 2011, 2017, and 2018, which were the driest years, and for 2019, which was the wettest year. Agricultural drought indices were compared to SPI index calculated using winter and spring precipitation data recorded at the meteorological stations. It was observed that the remote sensing indices showed the highest correlation with data from Kabul meteorological station, which is located at the same altitude and climate as the dense vegetation zone. Furthermore, the comparison showed that the ground precipitation data is characterized by higher amplitudes than the remote sensing data. From the above it steams that the vegetation in the Panjshir basin is influenced by both seasonal rainfall and rivers that continuously flood the area. UR - https://ccr.gu.ac.ir/article_119453.html L1 - https://ccr.gu.ac.ir/article_119453_242419e0dc1f3b7e653fec13ea8c35a0.pdf ER -