The study was carried out in Hakaluki haor to examine the effects of meteorological factors on Normalized Difference Vegetation Index (NDVI) dynamics. Remote sensing and GIS technique we to detect the spatiotemporal changes of NDVI in Hakaluki aor using multitemporal satellite images from Landsat 7 ETM+ and Landsat 8-OLT images from 2000 through 2019. The results from the spatiotemporal analysis at every five year interval showed that the value of NDVI decreased rapidly, so used the density of vegetation coverage was declining, and the water body was shrinking imperfectly. The resulting datasets from NDVI were compared with the meteorological parameter such as rainfall, maximum temperature, minimum temperature, and humidity to assess the impact of meteorological changes on it. Linear regression analysis model was done to identify the relationship of averaged meteorological factors as independent variables that could affect the averaged NDVI as the dependent variable at the study site. From the analysis of the linear regression model, it was found that there was a significant decrease in rainfall, with an increase in temperatures in conjunction with the decline of NDVI value. The results revealed that the NDVI value decreased with rainfall and humidity and had a negative correlation with rainfall and humidity, indicating that the vegetation growth was decreasing. The correlation between NDVI and maximum and minimum temperature was significantly positive, but there ‘was a negative correlation between rainfall and humidity. Overall this study illustrated the effectiveness of the NDVT approach for the change detection of area under the major changes of meteorological factors in Hakaluki kaor.