ANALYSIS ON LAND USE/LAND COVER CLASSIFICATION AROUND MYSURU AND CHAMARAJANAGARA DISTRICT, KARNATAKA, INDIA, USING IRS-1D PAN+LISS-III SATELLITE DATA

Land is a non-renewable resource and mapping of LU/LC is essential for planning and development of land and water resources in a region of engineering projects under progress. Land is an area of the earth surface, which embraces all reasonable stable or predictably cyclic, attribute of the biosphere including the atmosphere, soil and underlying geology. Hydrology, plant and animal population are the results of the past and present human activity to the extent that significantly influences on present and future LU/LC system. Proper management and development of these lands should be initiated to increase the land productivity, restoration of soil degradation, reclamation of wastelands, increase the environmental qualities and to meet the needs of rapidly growing population of the country. Remote Sensing (RS) satellite data with its synoptic view and multispectral data provides essential information in proper planning of LU/LC conditions of the larger areas. An attempt have been made to delineate the level-1, level-2 and level-3 LU/LC classification system through NRSC guidelines (1995) using both digital and visual image interpretation techniques by Geographical Information Systems (GIS) software’s. The classification accuracy is found to be more in case of digital technique as compared to that of visual technique in terms of area statistics. Efforts have been made to classify the LU/LC patterns using False Color Composite (FCC) data of IRS-1D PAN+LISS-III (Band: 2,3,4) through MapInfo v7.5, ArcView v3.2, Erdas Imagine v2011 and ArcGIS v10. The final results highlight the potentiality of geomatics in classification of LU/LC patterns around Chamarajanagara district, Karnataka, in natural resource mapping and its management which is a suitable model for application to similar geological terrain.