Application of hyperspectral and multispectral datasets for mineral mapping

In this study, hyperspectral datasets are simulated from multispectral data using a spectral reconstruction approach which is sensor-independent technique. This technique makes use of information atmospherically corrected Remote Sensing (MRS) and normalized ground spectra for the simulation HRS data. study EO-1, ALI dataset was used (HRS) to discover Udaipur region’s unique minerals. A total 61 bands with 10 nm bandwidth were simulated. The validated visual interpretation, statistical classification approaches. Simulated EO-1 Advanced Land Imager (ALI) has shown high correlation Hyperion Spectral Angle Mapper (SAM) also performed on mineral mapping. It observed that have comparable results better than their corresponding datasets.