In this article, we discuss the potential of airborne hyperspectral data in mapping host rocks of mineral deposits and surface signatures of mineralization using AVIRIS-NG data of a few important geological provinces in India. We present the initial results from the study sites covering parts of northwest India, as well as the Sittampundi Layered Complex (SLC) of Tamil Nadu and the Wajrakarur Kimberlite Field (WKF) of Andhra Pradesh from southern India. Modified spectral summary parameters, originally designed for MRO-CRISM data analysis, have been implemented on AVIRIS-NG mosaic of Jahazpur, Ra-jasthan for the automatic detection of phyllosilicates, carbonates and Fe–Mg-silicates. Spectral analysis over Ambaji and the surrounding areas ind...
Corundum is best known for its gem varieties, Ruby and Sapphire. Corundum is a very hard, tough, and...
Geometallurgical assessment of orebodies in the mining industry typically relies on bench-scale or l...
In this study, hyperspectral datasets are simulated from multispectral data using a spectral reconst...
We have utilized spectral bands of Advanced Visible Infrared Imaging Spectroradiometer Next Generati...
Hyperspectral remote sensing is being considered as an advanced technique for mineral identification...
The present study exploits high-resolution hyperspectral imagery acquired by the Airborne Visible/In...
The objectives of this study were to retrieve reflectance utilizing the raw (radiance) data from EO-...
In this study, we proposed an automated lithological mapping approach by using spectral enhancement ...
Economic mineral deposits are commonly associated with zones of intense hydrothermal alteration. Spa...
In spite of the dominance of traditional mineral exploration methods that demand physical characteri...
In this study, we have explored the utility of advanced hyperspectral, dual-polarized microwave, and...
The study has been carried out on the Saranda in Jharkhand and a part of Odisha state. Geospatial da...
Hyperspectral imaging plays a noticeable role in the remote sensing group.Recent investigations sta...
The Los Menucos District, Rio Negro, Argentina, provides an excellent case history of a complex epit...
Technological innovations and emerging analytical capabilities are transforming the mineralogical an...
Corundum is best known for its gem varieties, Ruby and Sapphire. Corundum is a very hard, tough, and...
Geometallurgical assessment of orebodies in the mining industry typically relies on bench-scale or l...
In this study, hyperspectral datasets are simulated from multispectral data using a spectral reconst...
We have utilized spectral bands of Advanced Visible Infrared Imaging Spectroradiometer Next Generati...
Hyperspectral remote sensing is being considered as an advanced technique for mineral identification...
The present study exploits high-resolution hyperspectral imagery acquired by the Airborne Visible/In...
The objectives of this study were to retrieve reflectance utilizing the raw (radiance) data from EO-...
In this study, we proposed an automated lithological mapping approach by using spectral enhancement ...
Economic mineral deposits are commonly associated with zones of intense hydrothermal alteration. Spa...
In spite of the dominance of traditional mineral exploration methods that demand physical characteri...
In this study, we have explored the utility of advanced hyperspectral, dual-polarized microwave, and...
The study has been carried out on the Saranda in Jharkhand and a part of Odisha state. Geospatial da...
Hyperspectral imaging plays a noticeable role in the remote sensing group.Recent investigations sta...
The Los Menucos District, Rio Negro, Argentina, provides an excellent case history of a complex epit...
Technological innovations and emerging analytical capabilities are transforming the mineralogical an...
Corundum is best known for its gem varieties, Ruby and Sapphire. Corundum is a very hard, tough, and...
Geometallurgical assessment of orebodies in the mining industry typically relies on bench-scale or l...
In this study, hyperspectral datasets are simulated from multispectral data using a spectral reconst...