A remotely sensed study of the impact of meteorological parameters on vegetation for the eastern basins of Afghanistan

Despite the importance of Amu Darya and Kabul River Basins as a region in which more than 15 million people live, its vulnerability to global warming, only few studies addressed issue linkage meteorological parameters on vegetation for eastern basins Afghanistan. In this study, data from MODIS, Global Precipitation Measurement Mission (GPM), Land Data Assimilation System (GLDAS) was used period 2000 2021. The study utilized several indices, such Condition Index (PCI), Temperature (TCI), Soil Moisture (SMCI), Vegetation (VCI), Optical Integrated Drought (OIDI). relationships between quantities, drought conditions, variations were examined by analyzing anomalies using regression methods. results showed that years 2000, 2001, 2008 had lowest coverage (VC) (56, 56, 55% area, respectively). On other hand, 2010, 2013, 2016, 2020 highest VC (71, 71, 72, 72% trend Afghanistan 2021 upward. High correlations soil moisture (R = 0.73, p 0.0008), precipitation 0.63, 0.0014) found also significant correlation index OIDI. It revealed moisture, precipitation, land surface temperature, area under conditions explained 45% annual variability. orography influence both spatial distribution LST VCI, well VCI parameters.