Abstract: Gully erosion is one of the major land degradation problems in Katsina State. This problem has been there for a long time and primarily on agricultural lands. It is mostly remarkable in the semi-arid areas where the rains are infrequent and torrential on the landscape with little or no vegetation cover. Gully erosion lessens soil productivity through physical loss of top soil reduction in rooting depth, removal of plant nutrients and loss of water which turns the landscape into a steep, bare-sided miniature valleys or gorges. In Katsina State, there is inadequate information on the magnitude of land degradation caused by gully erosion despite the fact that such information is very vital for planning and for ecological sustainability. This study utilised dekadal 1 km spatial resolution Normalised Difference Vegetation Index (NDVI) data from Advanced Very High Resolution Radiometer (AVHRR) onboard the National Oceanic Atmospheric Administration (NOAA) Meteorological satellites so as to highlight agricultural lands vulnerable to gully erosion in Katsina State. The dekadal data for 4 years covered the period from 1992-1996. However, data for 1994 had problems due to the satellite acquisition and hence, was excluded in the assessment. A subset Digital Elevation Model (DEM) covering Katsina State was also utilised in conjunction with the NDVI dataset and converted into latitude/longitude projection so as to facilitate the assessment of both the NDVI and DEM datasets on the same projection. Because data derived from AVHRR has a legacy of noise as well as being contaminated with clouds, the dekadal dataset was recomposited so as to reduce these effects. The results of vulnerable areas visited and analysed within a GIS environment were presented in a table and figures. In general, the Daura and Malumfashi zones are most affected in degradation of the agricultural landscapes. However, in terms of length, width and depths of gullies, the locality close to Mashi is the most affected compared to all the other sites within the 3 zones. Finally, the use of remotely sensed data, particularly the AVHRR-NDVI data which is freely available can enhance the study of agricultural lands susceptible to gully erosion when performed within a GIS environment. The study will surely go a long way in bridging the gap between conventional methods and modern techniques and the result obtained particularly from this study if utilised will certainly assist policymakers in mounting or revising policies relating to environmental management. Funds meant for ecological purposes if judiciously utilised as well as the intensification of any existing afforestation programme if sustained, will help reverse the decline in agricultural productivity caused by the menace of gullies around these localities.