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Chatterjee, Snehamoy
- Potential of Airborne Hyperspectral Data for Geo-Exploration over Parts of Different Geological/Metallogenic Provinces in India based on AVIRIS-NG Observations
Abstract Views :207 |
PDF Views:112
Authors
Satadru Bhattacharya
1,
Hrishikesh Kumar
1,
Arindam Guha
2,
Aditya K. Dagar
1,
Sumit Pathak
1,
Komal Rani (Pasricha)
2,
S. Mondal
3,
K. Vinod Kumar
2,
William Farrand
4,
Snehamoy Chatterjee
5,
S. Ravi
6,
A. K. Sharma
1,
A. S. Rajawat
1
Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, IN
3 Department of Geophysics, Indian Institute of Technology (ISM), Dhanbad 826 004, IN
4 Space Science Institute, Boulder, Colorado 80301, US
5 Department of Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, Michigan 49931, US
6 Geological Survey of India Training Institute, Bandlaguda, Hyderabad 500 068, US
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, IN
3 Department of Geophysics, Indian Institute of Technology (ISM), Dhanbad 826 004, IN
4 Space Science Institute, Boulder, Colorado 80301, US
5 Department of Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, Michigan 49931, US
6 Geological Survey of India Training Institute, Bandlaguda, Hyderabad 500 068, US
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1143-1156Abstract
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, Rajasthan for the automatic detection of phyllosilicates, carbonates and Fe–Mg-silicates. Spectral analysis over Ambaji and the surrounding areas indicates the presence of calcite across much of the study area with kaolinite occurring as well in the north and east of the study area. The deepest absorption features at around 2.20 and 2.32 μm and integrated band depth were used to identify and map the spatial distribution of phyllosilicates and carbonates. Suitable thresholds of band depths were applied to map prospective zones for marble exploration. The data over SLC showed potential of AVIRIS-NG hyperspectral data in detecting mafic cumulates and chromitites. We also have demonstrated the potential of AVIRIS-NG data in detecting kimberlite pipe exposures in parts of WKF.Keywords
Data, Geological Provinces, Host Rocks, Hyperspectral, Mineral Deposits.Full Text
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- Optimization of opencast mines using minimum cut algorithm – a case study from iron mine
Abstract Views :79 |
PDF Views:0
Authors
Affiliations
1 Professor, Dept. of Mining Engineering, National Institute of Technology, Rourkela, Odisha 769008, India, IN
2 Dept. of Mining Engineering, National Institute of Technology, Rourkela, Odisha 769008, India., IN
3 Asst. Professor, Dept. of Mining Engineering, National Institute of Technology, Rourkela, Odisha 769008, India., IN
1 Professor, Dept. of Mining Engineering, National Institute of Technology, Rourkela, Odisha 769008, India, IN
2 Dept. of Mining Engineering, National Institute of Technology, Rourkela, Odisha 769008, India., IN
3 Asst. Professor, Dept. of Mining Engineering, National Institute of Technology, Rourkela, Odisha 769008, India., IN
Source
Journal of Mines, Metals and Fuels, Vol 67, No 10 (2019), Pagination: 469-477Abstract
The demand and supply gap are on a rising trend in this developing world for all the minerals/ores. There is an acute need for suitable technological advancements in the field of mine planning with an aim for zero mining waste. The advanced technology will not only help in the optimum extraction of ores but will also maximize the profit ensuring safety and productivity. In this paper, an open pit optimization algorithm is proposed using a minimum cut algorithm and heuristic algorithm. The parametric minimum cut algorithm is used to generate pit shells, same as other mining software, and the resource constraints are imposed on the generated pit shells results using the heuristic algorithm to optimize the production plan. A case study is presented in an iron ore deposit from India, and the results were compared to the traditional method.Keywords
Modeling of deposit, open pit optimization, opencast mines, surface mining, surpac, numerical modeling
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