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• W4384831048 abstract "Bangladesh boasts some of the most diverse ecosystems on Earth, where vegetation plays a crucial role in maintaining ecological equilibrium and environmental sustainability. However, human activities and the impacts of global warming are taking a toll on vegetation, leading to a decline in green cover within urban areas and subsequent temperature rise. The intricate relationships between precipitation, temperature, evapotranspiration, and vegetation dynamics are of paramount importance. In this study, we investigate the seasonal and interannual fluctuations of Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) in Bangladesh, alongside relevant meteorological and hydrological parameters. Employing Google Earth Engine (GEE), we analyze NDVI, EVI, precipitation (PPT), evapotranspiration (ET), and land surface temperature (LST) data from the period spanning 2001 to 2020. The majority of our dataset relies on MODIS satellite imagery. The findings reveal discernible trends in both NDVI and EVI as observed through the Mann-Kendall trend test, with positive Sen's slopes indicating growth rates of 0.004241525/year and 0.002566744/year for NDVI and EVI, respectively. Additionally, EVI exhibits stronger correlations with other hydroclimatic variables compared to NDVI. Notably, EVI showcases an impressive performance with ET, as indicated by an r2 value of 0.373 and P-value of 6.8119 × 10−26, while NDVI displays an r2 value of 0.17 and P-value of 2.9695 × 10−11. Moreover, evapotranspiration can only explain 17% of the variation in NDVI, while no apparent link is observed between NDVI and precipitation. The findings underscore the significance of the EVI in detecting vegetation changes and highlight its robust association with hydroclimatic factors." @default.
• W4384831048 created "2023-07-21" @default.
• W4384831048 creator A5044442415 @default.
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• W4384831048 date "2023-08-01" @default.
• W4384831048 modified "2023-09-27" @default.
• W4384831048 title "Spatio-temporal variability of vegetation and its relation to different hydroclimatic factors in Bangladesh" @default.
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• W4384831048 doi "https://doi.org/10.1016/j.heliyon.2023.e18412" @default.
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