Conclusion |
GRDSS has demonstrated the potential to capture, process, display and analyse spatial and geographical information by applying Remote Sensing and GIS technology through a case study of Kolar district. The DSS has been designed to embrace the major functions: data input, information creation, query, map production and organize the multiple integration into a unified form to allow resource managers and decision makers to interactively utilize the system resources to perform the analysis. It also indicates that geospatial techniques can consists of powerful tools to assist resource managers in operating and analyzing volumes of environmental data and information for decision making with ease. The Land cover analyses shows that Kolar District has a vegetation area (that includes forest, agriculture and plantation) of 45.16 % and the non-vegetation area (built up and wasteland) is 54.84 %. The landuse analysis shows that the overall agricultural land is 28.34%, builtup (15.96%), forest (8.29%), plantation (8.53%) and the remaining area was wasteland. The producer’s accuracy evaluation for wasteland was estimated cent percent while vegetation ranging from 90.90% to 95.45% and builtup was 94.11% as against the user’s accuracy estimation which shows that builtup was 100%, vegetation ranging from 86.96% to 97.67% and wasteland was 93.75%. The 
value was found to be 0.93. The overall accuracy of the classification was found to be 94.67 %.
Talukwise land use analyses shows that among 11 taluks, Malur has maximum agricultural land (40.95 %), followed by Srinivaspur (36.52 %), and Sidlaghatta has 32.47 % agricultural land. Chikballapur has maximum forest area (18.30 %), followed by Bangarapet (15.95 %) and Srinivaspur (13.65 %). The talukwise assessment of wasteland share shows that wasteland ranges from 66.36% (Gudibanda) to 25.15% (Srinivaspur). This necessitates the decision-makers to take immediate appropriate policy interventions to improve the quality of the land and prevent from desertification.
We thank the Ministry of Science and Technology, Government of India for the financial assistance. We are grateful to Mr. Sanjeev Kumar Jha for proof reading the manuscript. We thank National Remote Sensing Agency, Hyderabad, India for providing the satellite data required for the analyses.
