Abstract: Land identification and classification on a remotely sensed data play a major role in planning and designing of megastructures and proper land utilization in the present scenario. Rapid decrease in natural resources were recorded all over the world due to gradual increase in population, human forces, rapid industrialization, urban sprawl, illegal mining, global warming (?) etc. These causing greatest impact on surface & groundwater, forest, natural vegetation and also deterioration of bare land with more built-up and dumping of garbage. Fast increase in population demands for larger volume of food, fodder and fuel wood have compelled to massive scale environment degradation and ecological imbalance. Observing each land category is important, so as to know the dynamics of population and quality of life. Accurate land mapping can be an effective tool for better land developmental strategies to meet the needs of human demands. Land categories have been digitized from FCC data of IRS-1D PAN+LISS-III in GIS environment. Level-1, Level-2 and Level-3 land classifications were analyzed using NRSC guidelines (1995) in which the classification accuracy in terms of area statistics is found to be more precise in case of digital technique as compared to that of visual technique. The present study highlights the land classification mapping for natural resource management and monitoring to balance the future needs.

Keywords: Geospatial technology; Land Classification; LISS-III Image; Hunasuru taluk.

| DOI: 10.17148/IARJSET.2021.8895