Spatial and Temporal Assessment of Remotely Sensed Land Surface Temperature Variability in Afghanistan during 2000–2021

The dynamics of land surface temperature (LST) in Afghanistan in the period 2000–2021 were investigated, and the impact of the factors such as soil moisture, precipitation, and vegetation coverage on LST was assessed. The remotely sensed soil moisture data from Land Data Assimilation System (FLDAS),...

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Bibliographic Details
Published in:Climate (Basel) 2022-07, Vol.10 (7), p.111
Main Authors: Nabizada, Ahmad Farid, Rousta, Iman, Dalvi, Marjan, Olafsson, Haraldur, Siedliska, Anna, Baranowski, Piotr, Krzyszczak, Jaromir
Format: Article
Language:English
Subjects:
Climate change
Data assimilation
Data collection
Environmental hazards
Global warming
Heat
Hydrologic data
Land surface temperature
MODIS
Moisture effects
Plant cover
Precipitation
Precipitation data
Remote sensing
Rivers
Satellites
Seasonal variations
Soil
Soil moisture
Spectroradiometers
Surface temperature
Temperature
Temperature variability
Topography
Variability
Vegetation
Weather
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Summary:The dynamics of land surface temperature (LST) in Afghanistan in the period 2000–2021 were investigated, and the impact of the factors such as soil moisture, precipitation, and vegetation coverage on LST was assessed. The remotely sensed soil moisture data from Land Data Assimilation System (FLDAS), precipitation data from Climate Hazards Group Infra-Red Precipitation with Station (CHIRPS), and NDVI and LST from Moderate-Resolution Imaging Spectroradiometer (MODIS) were used. The correlations between these data were analyzed using the regression method. The result shows that the LST in Afghanistan has a slightly decreasing but insignificant trend during the study period (R = 0.2, p-value = 0.25), while vegetation coverage, precipitation, and soil moisture had an increasing trend. It was revealed that soil moisture has the highest impact on LST (R = −0.71, p-value = 0.0007), and the soil moisture, precipitation, and vegetation coverage explain almost 80% of spring (R2 = 0.73) and summer (R2 = 0.76) LST variability in Afghanistan. The LST variability analysis performed separately for Afghanistan’s river subbasins shows that the LST of the Amu Darya subbasin had an upward trend in the study period, while for the Kabul subbasin, the trend was downward.
ISSN:2225-1154
2225-1154
DOI:10.3390/cli10070111