Food insecurity is a matter of both limited food availability and restricted access to food. Foodrnavailability is the availability of sufficient quantities of food of appropriate quality, supplied throughrndomestic production or imports. The main objective of this study was to investigate vulnerability to foodrninsecurity using Remote Sensing and GIS techniques in Meket District of Northwest Ethiopia. Thernnecessary data used for the study were satellite images, meteorological data and other ancillary data.rnDrought, land degradation and socio-economic maps were generated by considering them as the majorrnfactors determining vulnerability to food insecurity in the study area. For drought detection, NDVIrnanomaly and SPI were generated from SPOT-Vegetation and PROVA-V dekadal NDVI images for the 10rnstudy years (2008â€“2017). The land degradation vulnerability of the study area was modelled using LandrnDegradation Assessment Model. This model considers topographic, vegetation, soil, rainfall and humanrnfactors. In addition, socio-economic susceptibility of the community was also assessed and mapped.rnThen, these three determinant factors were weighted and overlaid to produce a model of vulnerability tornfood insecurity and further to delineate vulnerable areas. Firstly, a comprehensive map was produced thatrnindicates agricultural drought risk prone areas of the study area by combining the frequency maps of thernNDVI anomaly and SPI indices and confirmed drought pattern. This map shows that no, slight, moderate,rnsevere and very severe drought risk areas constitute 2.5, 11.3, 34.87, 42.9 and 8.43%, respectively, of therntotal area of Meket District. The result map was validated using ground truth data such as croprnproduction and experts in the Office of Agriculture of Meket District. Secondly, the land degradationrnvulnerability for 12.48, 28.78, 22.43, 26.42 and 9.89% of Meket District falls under very high, high,rnmedium, low and very low vulnerability classes, respectively. Thirdly, the percentage areas categorized asrnvery severely, severely, moderately, slightly and not susceptible classes were 7.25, 36.72, 33.24, 12.02rnand 10.78% of the total area of Meket District, respectively. Finally, the result of vulnerability to foodrninsecurity reveals that 23.26, 44.26 and 17.09% of the district were identified as moderately, severely andrnvery severely vulnerable areas to food insecurity. Only 1.79 and 13.60% were found to be no and slightlyrnvulnerable areas to food insecurity, respectively. Thus, the result could be used as a guide for concernedrngovernment and non-government organizations for taking actions on adaptive strategies of food insecurityrnin the study area. Spatially, most of northern, central and eastern parts of the district were found to berncategorized into the severe and very severe food insecurity vulnerability classes.