Responses of spatiotemporal vegetative land cover to meteorological changes in Bangladesh

Quantifying the response of vegetation cover change (VCC) to climatic variables is a gap that mandatory for conservation and rehabilitation natural landscapes ensure sustainability. Based on temperature rainfall data, Normalized Difference Vegetation Index (NDVI) dataset, district statistical we investigated spatiotemporal variations temperature, rainfall, urban land, VCC in all suburban areas Bangladesh during 1990–2018. To quantify impact urbanization VCC, two regression models were built between growing-season NDVI (GNDVI) proportion land (PUL). Linear regression, Pearson's correlation, Spearman correlation analysis carried out identify temporal among variables. Results show GNDVI, PUL varied greatly districts. The inter-annual GNDVI was found be closely related diverse variables, while moderately sensitive changes. A significant trend GP, negative GT, change. strong sensitivity GP calculated precipitation range 2200–3000 mm GT 300–31 °C. Besides, expansion mostly responsible study area. Unplanned developments would persist accelerate environmental changes unsustainability. findings warn us about need sustainable landscape management ecological preservation.