Application of Geospatial Technologies to ...

In homogeneous (either urban or rural) areas it is generally possible to get a better land use classification due to the distinct spectral reflectance values between different types of land use. But in peri-urban areas due to dual influence of rural and urban land covers, it is difficult to find out the land uses as identical reflectance values can correspond to different type of land uses serving different types of functions. Hence the quality of classification is poorer both in terms of the number of individual classes that can be identified and the accuracy with which these classes can be determined. To minimize this type of misclassification in land use classification, additional tools like GIS derived data has been used in the current study and hence a comparison is presented between the imperviousness obtained by two methodologies. The study can be useful for accessing the accuracy of runoff prediction by employing the imperviousness obtained above in the hydrologic model.