The present investigation was carried out in 2019-20 with an aim to assess the fertility status of the head and middle end of minor lift canal command area (602.405 ha), prepare soil fertility maps using Geo-statistical tools and evaluate the spatial variability of different soil parameters. The georeferenced soil samples (211) were collected and analysed adopting standard protocols. Out of total 211 samples about 53% samples (maximum) felled in neutral category and 45% in slightly alkaline pH range. All the samples were having EC <1.0 dSm-1 (non-saline). Maximum samples 83.89% and 99.53% belonged to low category for OC and available N. The spatial distribution of available P in study area revealed that 44.55% samples were found in the medium range followed by 54.03% in the low category. In case of available K maximum (55.45%) samples belonged to high category, followed by (44.54%) samples of medium category. The pH was negatively correlated (-0.153*) with soils available P at the 5% level of significance. The EC values of soil samples showed positive significant correlation with available N (0.225**) and OC (0.215**) at the 1% level of significance. Organic carbon values of soil samples were highly correlated with soil available N (0.550**) and available K (0.212**). GIS based thematic map of soil reaction (pH) showed that 474.245 ha (78.70%) and 117.865 ha (19.60%) area belonged to neutral and slightly alkaline pH category. GIS based thematic map of soil EC showed all the soils of the study area was non-saline. Predicted area of different classes in GIS based thematic map of soil OC and available N showed that maximum 541.7675 ha (90.00%) and 589.460 ha (97.90%) area was recorded in the low category. For available P maximum 312.255 ha (51.80%) area was recorded in the medium category followed by 290.150 ha (48.20%) in the low category. For available K maximum 569.8725 ha (94.60%) area was recorded in the medium category. GIS based interpolated, thematic maps of studied parameters helped in knowing the extent of area in each and every category or classes of fertility, which was not possible with the help of point data. This study will help in guiding for development of resource based land use plan for maintaining the sustainability in soil and crop.