Investigation of the Vegetation Coverage Dynamics and its Relation to Atmospheric Patterns in Kabul River Basin in Afghanistan

Rousta, Imán; Moniruzzaman, Md.; Ólafsson, Haraldur; Zhang, Hao; Baranowski, Piotr; Tkaczyk, Przemysław; Lipińska, Halina; Kępkowicz, Agnieszka; Krzyszczak, Jaromir

doi:10.1007/s00024-022-03044-6

Cited by 8 publications

(4 citation statements)

References 61 publications

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“…The correlation between VC and metrological drought was not significant (R=0.36, p=0.126) at a 95% confidence level. Obtained results are somewhat in line with the other research made for Kabul River Basin in Afghanistan [65], in which the vegetation coverage dynamics and its relation to atmospheric patterns were investigated. It was found that the vegetation dynamics in KRB was impacted by both precipitation and LST, however, the magnitude of this impact depended on the season.…”

Section: Discussionsupporting

confidence: 89%

A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan

Nabizada¹,

Rousta²,

Dalvi³

et al. 2022

Preprint

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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.

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Section: Discussionsupporting

confidence: 89%

A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan

Nabizada¹,

Rousta²,

Dalvi³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The correlation between VC and metrological drought was not signi cant (R = 0.36, p = 0.126) at a 95% con dence level. Obtained results are somewhat in line with the other research made for Kabul River Basin in Afghanistan(Rousta et al 2022b), in which the vegetation coverage dynamics and its relation to atmospheric patterns were investigated(Quan et al 2022). It was found that the vegetation dynamics in KRB was impacted by both precipitation and LST, however, the magnitude of this impact depended on the season.…”

supporting

confidence: 90%

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

et al. 2023

Self Cite

View full text Add to dashboard Cite

Despite the importance of the Amu Darya and Kabul River Basins 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 MODIS, Global Precipitation Measurement Mission (GPM), and Global Land Data Assimilation System (GLDAS) was used 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 signi cant 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.

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“…The diverse ecosystems of Afghanistan are vital for supporting livelihoods, with over 80% of the population depended directly or indirectly on agriculture and ecosystem services. Political influences, natural shifts, and emerging water scarcity continue to heighten the risk to Afghanistan's land cover dynamics [2] , [3] , [4] . The absence of reliable historical land cover data further complicated effective land management, as previous national-level assessments lacked harmonization and standardization.…”

Section: Introductionmentioning

confidence: 99%

Bridging the national data gap with Google earth engine and landsat imagery by developing annual land cover for Afghanistan

Uddin,

Atal,

Maharjan

et al. 2024

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Investigation of the Vegetation Coverage Dynamics and its Relation to Atmospheric Patterns in Kabul River Basin in Afghanistan

Cited by 8 publications

References 61 publications

A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan

A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan

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

Bridging the national data gap with Google earth engine and landsat imagery by developing annual land cover for Afghanistan

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