Land use/ land cover information from various classification methods of Shekhawati region of Rajasthan

In the present study, variation in classification methods is discussed. We adopted the three classification methods and compare them with the Authority records for land use classes. Finally, Knowledge Classification (KC) is used to create the Land Use Land Cover (LULC) map. Although the classification results from the Knowledge classification method were better than those obtained with the supervised and unsupervised method, but there are problem with the area which have less pixel count and intermixing of spectral information are present. KC will help in faster updation of Map at regional and local level for LULC categories with better accuracy than supervised classification. It helps in many aspects of Land planning and avoid conflicts among various stakeholders in Land classification.