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 astrob...

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Bibliographic Details
Main Authors: Tripathi, P., Garg, R. D.
Format: Conference Proceeding
Language:English
Subjects:
Geology
Imaging spectrometers
Remote sensing
Spectra
Vegetation
Vegetation effects
Online Access:Get full text
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Summary: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.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVI-1-W1-2021-73-2022