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Potential of Airborne Hyperspectral Data for Geo-Exploration over Parts of Different Geological/Metallogenic Provinces in India based on AVIRIS-NG Observations


Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
2 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India
3 Department of Geophysics, Indian Institute of Technology (ISM), Dhanbad 826 004, India
4 Space Science Institute, Boulder, Colorado 80301, United States
5 Department of Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, Michigan 49931, United States
6 Geological Survey of India Training Institute, Bandlaguda, Hyderabad 500 068, United States
 

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.
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  • Goetz, A. F. H., Three decades of hyperspectral remote sensing of the Earth: a personal view. Remote Sensing Environ., doi:10,1016/j.res.2007.12.014.

  • Goetz A. F., Vane G., Solomon J. E. and Rock B. N., Imaging spectrometry for Earth remote sensing. Science, 1985, 228, 4704, 1147–1153.

  • Clark, R. N., King, T. V. V., Klejwa, M. and Swayze, G. A., High spectral resolution reflectance spectroscopy of minerals. JGR, 1990, 95, 12653–12680.

  • Pieters, C. M. et al., Character and spatial distribution of OH/H2O on the surface of the Moon seen by Chandrayaan-1. Science, 2009, 326; doi:10.1126/science.1178658.

  • Clark, R. N., Detection of adsorbed water and hydroxyl on the Moon. Science, 2009, 326; doi:10.1126/science.118105.

  • Hampton, D. L. et al., An overview of the instrument suite for the deep impact mission. Space Sci. Rev., 2005, 117, 43–93.

  • Brown, R. H. et al. The Cassini visual and infrared mapping spectrometer (VIMS) investigation. Space Sci. Rev., 2004, 115, 111– 168.

  • Murchie, S. L. et al., Compact reconnaissance imaging spectrometer for mars investigation and dataset from the mars reconnaissance orbiter’s primary science phase. J. Geophys. Res., 2009, 114, E00D07.

  • Sunshine, J. M. et al., Temporal and spatial variability of lunar hydration as observed by the deep impact spacecraft. Science, 2009, 326, doi:10.1126/science.1179788.

  • Goswami, J. N. and Annadurai, M., An overview of the Chandrayaan1 mission. Curr. Sci., 2009, 96, 486–491.

  • Kumar, A. S. K. et al., Hyperspectral imager for lunar mineral mapping in visible and near infrared band. Curr. Sci., 2009, 96, 496.

  • Bhattacharya, S., Majumdar, T. J., Rajawat, A. S., Panigrahi, M. K. and Das, P. R., Utilization of Hyperion data over Dongargarh, India, for mapping altered/weathered and clay minerals along with field spectral measurements. Int. J. Remote Sensing, 2012, 33(17), 5438–5450.

  • Kusuma, K. N., Ramakrishnan, D. and Pandalai, H. S., Spectral pathways for effective delineation of high-grade bauxites: a case study from the Savitri River Basin, Maharashtra, India, using EO-1 Hyperion data. Int. J. Remote Sensing, 2012, 33(22), 7273– 7290.

  • Magendran, T. and Sanjeevi, S., Hyperion image analysis and linear spectral unmixing to evaluate the grades of iron ores in parts of Noamundi, eastern India. Int. J. Appl. Earth Obs. Geoinf., 2014, 26, 413–426.

  • Rani, N., Mandla, V. R. and Singh, T., Spatial distribution of altered minerals in the Gadag Schist Belt (GSB) of Karnataka, southern India using hyperspectral remote sensing data. Geocarto Int., 2017, 32(3), 225–237.

  • Shanmugam, S. and Abhishekh, P. V., Spectral unmixing of hyperspectral data to map bauxite deposits. In Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications (eds Smith, W. Sr. L. et al.), SPIE, 2006, vol. 6405, pp. 64051N.

  • Thompson, D. R., Boardman, J. W., Eastwood, M. L. and Green, R. O., A large airborne survey of Earth’s visible–infrared spectral dimensionality. Opt. Express, 2017, 25(8), 9186–9195.

  • Thompson, D. R. et al., Atmospheric correction with the Bayesian empirical line. Opt. Exp., 2016, 24, 2134–214.

  • Gupta, S. N., Arora, Y. K., Mathur, R. K., Iqballuddin, Prasad, B., Sahai, T. N. and Sharma, S. B., Lithostratigraphic Map of Aravalli region, Southeastern Rajasthan and Northern Gujarat. Geological Survey of India, Hyderabad, 1980.

  • Dey, B., Das, K., Dasgupta, N., Bose, S. and Ghatak, H., Zircon U–Pb SHRIMP dating of the Jahazpur granite and its implications on the stratigraphic status of the Hindoli–Jahazpur group. In Seminar Abstract Volume: Developments in Geosciences in the Past Decade – Emerging Trends for the Future and Impact on Society and Annual General Meeting of the Geological Society of India, IIT Kharagpur, 21–23 October 2016.

  • Pandit, M. K., Sial, A. N., Malhotra, G., Shekhawat, L. S. and Ferreira, V. P., C-, O-isotope and whole-rock geochemistry of Proterozoic Jahazpur carbonates. NW Indian Craton. Gondwana Res., 2003, 6(3), 513–522.

  • Geology and Mineral Resources of Rajasthan, Geological Survey of India Miscellaneous Publication No. 30, Part 12, 3rd revised edn, 2011, ISSN 0579-4706.

  • Pelkey, S. M. et al., CRIMS multispectral summary products: parameterizing mineral diversity on Mars from reflectance. J. Geophys. Res., 2007, 112(E8), doi:10.1029/2006JE002831.

  • Viviano-Beck, C. E. et al., Revised CRISM spectral parameters and summary products based on the currently detected mineral diversity on Mars. J. Geophys. Res.: Planets, 2014, 119, 6; doi:10.1002/2014JE004627.

  • Bhattacharya, S., Chauhan, P., Rajawat, A. S., Ajai and Kumar, A. S. K., Lithological mapping of central part of Mare Moscoviense using Chandrayaan-1 Hyperspectral Imager (HySI) data. Icarus, 2011, 211, 470–479.

  • Pieters, C. M., Gaddis, L., Jolliff, B. and Duke, M., Rock types of South Pole-Aitken basin and extent of basaltic volcanism. J. Geophys. Res., 2001, 106, 28001–28022; doi:10.1029/2000JE001414.

  • Crawford, A. R., The Precambrian geochronology of Rajasthan and Bundelkhand, northern India. Can. J. Earth Sci., 1970, 7(1), 91–110.

  • Sharma, N. L. and Nandy, N. C., A note on the petrological classification of the basic intrusives of Danta State (N. Gujarat). Proc. Indian Acad. Sci., 1936, 3, 366–376.

  • Deb, M., Genesis and metamorphism of two stratiform massive sulfide deposits at Ambaji and Deri in the Precambrian of western India. Econ. Geol., 1980, 75(4), 572–591.

  • Mustard, J. F. et al., Compositional diversity and geologic insights of the Aristarchus crater from Moon Mineralogy Mapper data. J. Geophys. Res., Planets, 2011, 116, EOOG12.

  • Clark, R. N. and Roush, T. L., Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications. J. Geophys. Res.: Solid Earth, 1984, 89(B7), 6329–6340.

  • Rodger, A., Laukamp, C., Haest, M. and Cudahy, T., A simple quadratic method of absorption feature wavelength estimation in continuum removed spectra. Remote Sensing Environ., 2012, 118, 273–283.

  • Hunt, G. R. and Salisbury, J. W., Visible and near infrared spectra of minerals and rocks. II. Carbonates. Modern Geol., 1971, 2, 23– 30.

  • Gaffey, S. J., Spectral reflectance of carbonate minerals in the visible and near infrared (0.35–2.55 μm); calcite, aragonite, and dolomite. Am. Mineral., 1986, 71(1–2), 151–162.

  • Adams, J. B. and McCord, T. B., Optical properties of mineral separates, glass, and anorthositic fragments from Apollo mare samples. In Lunar and Planetary Science Conference Proceedings, 1971, vol. 2, p. 2183.

  • Longhi, J., Walker, D. and Hays, J. F., Fe and Mg in plagioclase. In Lunar and Planetary Science Conference Proceedings, 1976, vol. 7, pp. 1281–1300.

  • Clark, R. N., Spectroscopy of rocks and minerals, and principles of spectroscopy. Man. Remote Sensing, 1999, 3, 3–58.

  • Launeau, P., Girardeau, J., Sotin, C. and Tubia, J. M., Comparison between field measurements and airborne visible and infrared mapping spectrometry (AVIRIS and HyMap) of the Ronda peridotite massif (southwest Spain). Int. J. Remote Sensing, 2004, 25(14), 2773–2792.

  • Guha, A., Ghosh, B., Vinod Kumar, K. and Chowdhary, S., Implementation of reflection spectroscopy based new aster indices and principal components to delineate chromitite and associated ultramafic–mafic complex in parts of Dharwar Craton, India. Adv. Space Res., 2015, 56, 1453–14680.

  • Rajendran, S. et al., ASTER detection of chromite bearing mineralized zones in Semail Ophiolite Massifs of the northern Oman Mountains: exploration strategy. Ore Geol. Rev., 2012, 44, 121– 135.

  • Cooley, T. et al., FLAASH, a MODTRAN4-based atmospheric correction algorithm, its application and validation. International Geoscience and Remote Sensing Symposium (IGARSS), 2002, 3, 1414–1418.

  • Sultan, S. A., Mansour, S. A., Santos, F. M. and Helaly, A. S., Geophysical exploration for gold and associated minerals, case study: Wadi ElBeida area, South Eastern Desert, Egypt. J. Geophys. Eng., 2009, 6, 345–356.

  • Tontini, F. C., de Ronde, C. E., Scott, B. J., Soengkono, S., Stagpoole, V., Timm, C. and Tivey, M., Interpretation of gravity and magnetic anomalies at Lake Rotomahana: geological and hydrothermal implications. J. Volcanol. Geother. Res., 2016, 314, 84– 94.

  • Subramaniam, A. P., Mineralogy and petrology of the Sittampundi complex, Salem district, Madras State, India. Geol. Soc. Am. Bull., 1956, 67, 317–390.

  • Windley, B. F., Bishop, F. C. and Smith, J. V., Metamorphosed layered igneous complexes in Archean granulite – gneiss belts. Annu. Rev. Earth Planet. Sci., 1981, 9, 175.

  • Kraut, S., Scharf, L. L. and Butler, R. W., The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic. IEEE Trans. Signal Process, 2005, 53(2), 427–438.

  • Murthy, D. S. N. and Dayal, A. M., Geochemical characteristics of kimberlite rock of the Anantapur and Mahbubnagar districts, Andhra Pradesh, South India. J. Asia Earth Sci., 2001, 19, 311– 319.

  • Arindam, G., Vinod Kumar, K., Ravi, S. and Dhanamjaya Rao, S., Reflectance spectroscopy of kimberlite – in parts of Dharwar Craton, India. Arab. J. Geosci., 2015, 8(11), 9373–9388.


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  • Potential of Airborne Hyperspectral Data for Geo-Exploration over Parts of Different Geological/Metallogenic Provinces in India based on AVIRIS-NG Observations

Abstract Views: 363  |  PDF Views: 168

Authors

Satadru Bhattacharya
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Hrishikesh Kumar
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Arindam Guha
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India
Aditya K. Dagar
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Sumit Pathak
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Komal Rani (Pasricha)
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India
S. Mondal
Department of Geophysics, Indian Institute of Technology (ISM), Dhanbad 826 004, India
K. Vinod Kumar
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 042, India
William Farrand
Space Science Institute, Boulder, Colorado 80301, United States
Snehamoy Chatterjee
Department of Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, Michigan 49931, United States
S. Ravi
Geological Survey of India Training Institute, Bandlaguda, Hyderabad 500 068, United States
A. K. Sharma
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
A. S. Rajawat
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India

Abstract


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.

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DOI: https://doi.org/10.18520/cs%2Fv116%2Fi7%2F1143-1156