Nabizada, A.F.; Rousta, I.; Mozaffari, G.; Dalvi, M.; Olafsson, H.; Siedliska, A.; Baranowski, P.; Tkaczyk, P.; Krzyszczak, J. A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan. Earth Science Informatics 2023, 16, 1293–1312, doi:10.1007/s12145-023-00965-1.
Nabizada, A.F.; Rousta, I.; Mozaffari, G.; Dalvi, M.; Olafsson, H.; Siedliska, A.; Baranowski, P.; Tkaczyk, P.; Krzyszczak, J. A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan. Earth Science Informatics 2023, 16, 1293–1312, doi:10.1007/s12145-023-00965-1.
Nabizada, A.F.; Rousta, I.; Mozaffari, G.; Dalvi, M.; Olafsson, H.; Siedliska, A.; Baranowski, P.; Tkaczyk, P.; Krzyszczak, J. A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan. Earth Science Informatics 2023, 16, 1293–1312, doi:10.1007/s12145-023-00965-1.
Nabizada, A.F.; Rousta, I.; Mozaffari, G.; Dalvi, M.; Olafsson, H.; Siedliska, A.; Baranowski, P.; Tkaczyk, P.; Krzyszczak, J. A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan. Earth Science Informatics 2023, 16, 1293–1312, doi:10.1007/s12145-023-00965-1.
Abstract
The vulnerability of vegetation in the Middle East to meteorological conditions and climate change, especially those leading to drought, is high. Despite the importance of the Amu Darya and Kabul River Basins (ADB and KRB) as a region in which more than 15 million people live, and its vulnerability to global warming, only several studies addressed the issue of the linkage of meteorological parameters on vegetation for the eastern basins of Afghanistan. In this study, data from the Moderate Resolution Imaging Spectroradiometer (MODIS), Global Precipitation Measurement Mission (GPM), and Land Data Assimilation System (GLDAS) to examine the impact of meteorological parameters on vegetation for the eastern basins of Afghanistan for the period from 2000 to 2021. The study utilized several indices, such as Precipitation Condition Index (PCI), Temperature Condition Index (TCI), Soil Moisture Condition Index (SMCI), and Microwave Integrated Drought Index (MIDI). The relationships between meteorological quantities, drought conditions, and vegetation variations were examined by analyzing the anomalies and using regression methods. The results showed that the years 2000, 2001, and 2008 had the lowest vegetation coverage (VC) (56, 56, and 55% of the study area, respectively). On the other hand, the years 2010, 2013, 2016, and 2020 had the highest VC (71, 71, 72, and 72% of the study area, respectively). The trend of the VC for the eastern basins of Afghanistan for the period from 2000 to 2021 was upward. High correlations between VC and soil moisture (R = 0.70, p = 0.0004), and precipitation (R = 0.5, p = 0.008) were found, whereas no significant correlation was found between VC and drought index MIDI. It was revealed that soil moisture, precipitation, land surface temperature, and area under meteorological drought conditions explained 45% of annual VC variability.
Environmental and Earth Sciences, Environmental Science
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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