VNIR HYPERSPECTRAL ANALYSIS OF RAMGARH ASTROBLEME IN NORTHERN INDIA

Hyperspectral remote sensing has immense potential to characterize any surface by utilizing the detailed spectral information obtained from hundreds of narrow and contiguous bands. This work utilizes the latest DESIS (DLR Earth Sensing Imaging Spectrometer) hyperspectral data from the Ramgarh astrobleme (crater) in the state of Rajasthan, India to identify the surface geology and the changes that have undergone. Vertex Component analysis has been applied on DESIS data, and the output end members were compared with the reference spectra from the spectral library. However, due to the amount of vegetation in the study area, the Vegetation Response Removal (EVRR) thresholding model is proposed to remove the effect of vegetation. With the application of EVRR, the presence of quartz with impurities is noticed.

Automated summary

Hyperspectral remote sensing has the potential to characterize any surface by utilizing detailed spectral information. This study utilized the latest DESIS hyperspectral data to identify the surface geology and changes in the Ramgarh astrobleme in India, and proposed the Vegetation Response Removal (EVRR) thresholding model to remove the effect of vegetation.