Hyperion image analysis and linear spectral unmixing to evaluatethe grades of iron ores in parts of Noamundi, Eastern India

International Journal of Applied Earth Observation and Geoinformation

Volumn 26, Issue 1, 2014, Pages 413-426

  Magendrana, T ^a   Sanjeevi, S ^b  

^a SRM INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

^b ANNA UNIVERSITY   (India)

Author keywords

Geochemistry; Hyperion; Iron ore grades; Linear spectral unmixing; Noamundi; Spectral curves

Indexed keywords

GEOCHEMISTRY; HYPERION; IMAGE ANALYSIS; IRON ORE; ORE DEPOSIT; REMOTE SENSING; SPECTRAL ANALYSIS;

INDIA; JHARKHAND; NOAMUNDI MINE;

EID: 84897845523     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2013.09.004     Document Type: Article

References (31)

1. Adams, J.B., Smith, M.O., Johnson, P.E., 1986. Spectral mixture modeling: a new anal-ysis of rock and soil types at the Viking Lander 1 site. Journal of GeophysicalResearch 91, 8098-8112.
2. Belanger, M.J., Miller, J.R., Boyer, M.G., 1995. Comparative relationships betweensome red edge parameters and seasonal leaf chlorophyll concentrations. Cana-dian Journal of Remote Sensing 21 (1), 16-21.
3. Boardman, J.W., Kruse, F.A., Green, R.O., 1995. Mapping target signatures via par-tial unmixing of AVIRIS data. In: Summaries, Fifth JPL Airborne Earth ScienceWorkshop, vol. 95(1). JPL Publication, pp. 23-26.
4. Chang, S.H., Collins, W., 1983. Confirmation of airborne biophysical mineral explo-ration techniques using laboratory methods. Economic Geology and Bulletin ofthe Society of Economic Geologists 78, 723-736.
5. Clark, R.N., Roush, T.L., 1984. Reflectance spectroscopy: quantitative analysis tech-niques for remote sensing applications:. Journal of Geophysical Research 89 (B7), 6329-6340.
6. Clark, R.N., King, T.V.V., Klejwa, M., Swayze, G.A., 1990. High spectral resolutionspectroscopy of minerals. Journal of Geophysical Research 95 (8), 12653-12680.
7. Clark, R.N., Swayze, G.A., Livo, K.E., Hoefen, T., Kokaly, R.F., Sutley, S.J., Dalton, J.B., Mcdougal, R.R., Gent, C.A., 2003. Imaging spectroscopy: earth and planetaryremote sensing with the USGS Tetracorder and expert systems. Journal of Geo-physical Research 108, 5-1-5-44.
8. Dawson, T.P., Curran, P.J., 1998. A new technique for interpolating the reflectancered edge position. International Journal of Remote Sensing 19, 2133-2139.
9. Drury, S.A., 1993. Image Interpretation in Geology, 2nd ed. Chapman & Hall, London.
10. [1EO] User Guide, 2003. USGS Earth Resources Observation System Data Centre E.D.C.
11. Kruse, F.A., Bedell, R.L., Taranik, J.V., Peppin, W.A., Weatherbee, O., Calvin, W.M., 2012. Mapping alteration minerals at prospect, outcrop and drill core scalesusing imaging spectrometry. International Journal of Remote Sensing 33 (6), 1780-1798.
12. Goetz, A.F.H., Vane, G., Solomon, J.E., Rock, B.N., 1985a. Imaging spectrometry forearth remote sensing. Science 228, 1147-1153.
13. Goetz, A.F.H., Brian, C., Shiley, D.A., 2009. Rapid gangue mineral concentration mea-surement over conveyors by NIR reflectance spectroscopy. Journal of MineralsEngineering 22, 490-499.
14. Green, A.A., Berman, M., Switzer, P., Craig, M.D., 1988. A Transformation for orderingmultispectral data in terms of image quality with implications for noise removal.IEEE Transactions on Geoscience and Remote Sensing 26, 65-74.
15. Goetz, A.F.H., Vane, G., Solomon, J.E., Rock, B.N., 1985b. Imaging spectrometry forEarth remote sensing. Science 228, 1147-1153.
16. Goodenough, D.G., Pearlman, J.S., Murdoch, M., Han, T., Chen, H., West, C., 2003.Processing Hyperion and ALI for forest classification. IEEE Transaction on Geo-science and Remote Sensing 41 (6), 1321-1331.
17. Gupta, R.P., 2003. Remote Sensing Geology, 2nd ed. Springer, Berlin.
18. Harm, B., Gerrit, E., Michael, S., 2007. Determining iron content in Mediter-ranean soils in partly vegetated areas, using spectral reflectance and imagingspectroscopy. International Journal of Applied Earth Observation and Geoinfor-mation 9, 194-203.
19. Shafri, H.Z.M., Mohd Salleh, M.A., Ghiyamat, A., 2006. Hyperspectral remote sensingof vegetation using red edge position techniques. American Journal of AppliedSciences 3 (6), 1864-1871.
20. Hunt, G.R., Salisbury, J.W., Lenhoff, C.J., 1971. Visible and near-infrared spectra ofminerals and rocks: III. Oxides and hydroxides. Modern Geology 2, 195-205.
21. ITT Visual Information Solutions. http://www.ittvis.com (accessed July 2010)
22. Karmanov, I.I., 1970. Study of soil from spectral composition of reflected radiation.Soviet Soil Science 4, 226-238.
23. Kruse, F.A., 1988. Use of airborne imaging spectrometer data to map minerals asso-ciated with hydrothermally altered rocks in the northern Grapevine Mountains, Nevada and California. Remote Sensing of Environment 24, 31-51.
24. Kruse, F.A., Perry, S.L., 2009. Improving multispectral mapping by spectral modelingwith hyperspectral signatures. Journal of Applied Remote Sensing 3, 22.
25. Nicolas, B.J., Mukhopadhyay, J., Gutzmer, J., 2008. Genesis of high-grade iron oresof the archean iron ore group around Noamundi, India. EconIomic Geology 103(2), 365-386.
26. Ray, A.K., Ruikar, M.R., Pande, S.C., 1979. Manual of Procedure for Chemical andInstrumental Analysis of Ores, Minerals, Ore Dressing Products and Environ-mental Samples. Ministry of Steel & Mines, Indian Bureau of Mines.
27. Van der Meer, F.D., Van der Werff, H.M.A., Van Ruitenbeek, F.J.A., Hecker, C.A., Bakker, W.H., Noomen, M.F., van der Meijde, M., Carranza, E.J.M., de Smeth, J.B., Woldai, T., 2012. Multi-and hyperspectral geologic remote sensing: a review.International Journal of Applied Earth Observation and Geoinformation 14, 112-128.
28. Vane, G., Green, R.O., Chrien, T.G., Enmark, H.T., Hansen, E.G., Porter, W.M., 1993. Theairborne visible/infrared imaging spectrometer. Remote Sensing of Environment44, 127-143.
29. San, B.T., Suzen, M.L., 2010. Evaluation of different atmospheric correctionalgorithms for Eo-1 Hyperion imagery. International Archives of the Photogram-metry, Remote Sensing and Spatial Information Science 38 (8), 392-397.
30. Shimabukuro, Y.E., Smith, J.A., 1991. The least-squares mixing models to generatefraction images derived from remote sensing multispectral data. IEEE Transac-tions on Geoscience and Remote Sensing 29, 16-20.
31. Taranik, J.V., Aslett, Z.L., 2009. Development of hyperspectral imaging for mineralexploration. Reviews in Economic Geology 16, 83-95.