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Drought is the most complex but least understood of all natural hazards in Bangladesh. Timely information about the onset of drought, extent, intensity, duration and impacts can limit drought related losses of life, human suffering and decrease damage to economy and environment. In this study an attempt has been made to apply RS and GIS techniques for drought detection in the north-west region which is the most drought prone area of of Bangladesh. Meteorological drought was determined based on Standardized Precipitation Index (SPI). SPI values were interpolated to determine the spatial pattern of meteorological drought and threshold value for different types of drought. Agricultural drought risk areas were identified based on Normalized Difference Vegetation Index (NDVI) by using surface reflectance with 250m resolution from MODIS satellite during 2000-2008. Anomaly of the NDVI from the mean values was classified to determine the agricultural drought risk. Meteorological and agricultural drought risk maps were prepared by integrating the various classes of drought. Finally, a resultant risk map was obtained by integrating agriculture and meteorological drought risk maps which indicate the areas facing a combined drought. The combined risk map shows that approximately 17% area has no risk, 23% area face slight risk, 30% area face moderate risk and 31% area face severe to very severe risk within the study area. It was evident from the study that central, northern and southwestern districts of the north-west region of Bangladesh are more prone to agricultural and meteorological drought.