Red Edge Shift and its Implication for Buried Ore Prospecting a Case Study of Shujigou Copper Mine, Liaoning, P.R.China

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It is difficult for ore prospecting by conventional methods of geologic mapping and geophysical or geochemical methods in highly vegetated terrain. High resolution spectral measurement is an excellent tool. In this paper, the reflectance spectra of oak leaves and larch leaves in Shujigou Copper Mine, P.R. China, were measured by ASD Fieldspec®3 portable spectroradiometer and red edge positions are obtained by derivative method. The results indicate that the “blue shift” of foliage of both species is spatially well in accordance with the ore bodies, despite of the ore vein buried or not and the depth of ore-bury. The research provides the theoretical basis for the ore exploration in vegetated terrain by hyperspectral remote sensing method.

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212-217

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] R.R. Brooks, Biological methods of prospecting for minerals, New York, Wiley, (1983).

Google Scholar

[2] E.W. Chappelle, M.S. Kim, J.E. McMurtrey, The red-edge shift: an explanation of its relationship to stress and the concentration of chlorophyll A, Geoscience and Remote Sensing Symposium, vol. 4, 1991, pp.2287-2290.

DOI: 10.1109/igarss.1991.575500

Google Scholar

[3] W. Collins, S.H. Chang, Airborne biophysical mapping of hidden mineral deposits, Economic Geology, vol. 78, 1983, pp.737-749.

DOI: 10.2113/gsecongeo.78.4.737

Google Scholar

[4] J.P. Darch, J. Barber, Multitemporal remote sensing of a geobotanical anomaly, Economic Geology, vol. 78, 1983, pp.770-782.

DOI: 10.2113/gsecongeo.78.4.770

Google Scholar

[5] C.E. Dumn, Biogeochemistry in mineral exploration, Amsterdam, Elsevier Press, (2007).

Google Scholar

[6] S.C. Dunagan, M.S. Bilmore, J.C. Varekamp, Effects of mercury on visible/NIR reflectance spectra of mustard spinach plants, Environmetanl Pollution, vol. 148, 2007, pp.301-311. doi: 10. 1016/j. envpol. 2006. 10. 023.

DOI: 10.1016/j.envpol.2006.10.023

Google Scholar

[7] A.B. George, Quantifying chlorophylls and carotenoids at leaf and canopy scales: an evaluation of some hyperspectral approaches, Remote sensing of environment, vol. 39, 1998, p.329–335.

Google Scholar

[8] A.F.H. Geotz, B.N. Rock, Remote sensing for exploration: an overview, Economic Geolgy, vol. 78, 1983, pp.573-590.

Google Scholar

[9] J. E, Kester, Building good spectral vegetation backgrounds in the VNIR, Geoscience and Remote Sensing Symposium, vol. 3, 2008, pp.786-789, IEEE press, doi: 10. 1109/IGARSS. 2008. 4779466.

DOI: 10.1109/igarss.2008.4779466

Google Scholar

[10] V.R. Lakkaraju, X.B. Zhou, M.E. Apple, et al, Study the vegetation response to simmulated leakage of sequestered CO2 using spectral vegetation indices, in press.

DOI: 10.1016/j.ecoinf.2010.05.002

Google Scholar

[11] F. Lehmann. J. Rothfuss, R. Richter, Evaluation of imaging spectrometry data (GER) for the spectral analysis of an old vegetation covered waste deposit, Geoscience and Remote Sensing Symposium, 1990, pp.1613-1616, IEEE press.

DOI: 10.1109/igarss.1990.688817

Google Scholar

[12] C.E. Leprieur, Red-edge measuremnt and canopy structure, a first look with AVIRIS data, Geoscience and Remote Sensing Symposium,. IEEE press, vol. 4, 1989, p.2093-(2096).

DOI: 10.1109/igarss.1989.577785

Google Scholar

[13] H. P, Liang, X.N. Liu, Hyperspectral analysis of leaf copper accumulation in agronomic crop based on artificial neural network, 2008 international workshop on earth observation and remote sensing application, IEEE press, Nov. 2008, pp.1-6.

DOI: 10.1109/eorsa.2008.4620312

Google Scholar

[14] H. Lin, X.Y. Liu, X.P. Xue, Correlation analysis between biogeochemical contents of camphor and in-situ hyperspectral measurement, 2008 international conference on multimedia and information technology, IEEE press, July 2008, pp.756-760.

DOI: 10.1109/mmit.2008.71

Google Scholar

[15] F.F. Sabins, Remote sensing for mineral exploration, Ore Geology Reviews, vol. 14, 1999, pp.157-183.

DOI: 10.1016/s0169-1368(99)00007-4

Google Scholar

[16] P. Shi, Z.Y. Wei, L. Jiang, et al, Research on tolerance of plants to heavy metal in wastelands of Fushun Hongtoushan Copper Mine, Metel mine, vol. 2, 2010, pp.155-158.

Google Scholar

[17] V. Singhory, F. Kenny, J. Springer, Reflectance spectra of vegetation growing on mine sites in the Canadian Shield, Geoscience and Remote Sensing Symposium, vol. 2, 1989, pp.665-669, IEEE press.

DOI: 10.1109/igarss.1989.578898

Google Scholar

[18] V. Singhory, R. Saint-Jean, J. Levesque, et al, Reflectance spectra of the boreal forest over mineralized sites, Geoscience and Remote Sensing Symposium, vol. 4, 2000, pp.1379-1381, IEEE press, doi: 10. 1109/IGARSS. 2000. 857213.

DOI: 10.1109/igarss.2000.857213

Google Scholar

[19] K.L. Smith, M.D. Steven, J.J. Colls, Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks, Remote Sensing of Evironment, vol. 92, 2004, pp.207-217, doi: 10. 1016/j. rse. 2004. 06. 002.

DOI: 10.1016/j.rse.2004.06.002

Google Scholar

[20] V.C. Vanderbilt, S.L. Ustin, J. Clark, Canopy geometry changes due to wind cause red edge spectral shift, Proceding of IGARSS, ESA SP-284, IEEE ESA Publication Division, Augest 1988, p.835.

DOI: 10.1109/igarss.1988.570451

Google Scholar

[21] C.B. Yang, Q.G. Jiang, The study and application of mineralization information extraction by use of remote sensing in East Liaoning, Application of Remote Sensing, vol2, 2007, pp.20-24, (in Chinese with English abstract).

Google Scholar

[22] D.L. Zhao, K.R. Reddy, V. Gopal, et al, Canopy reflectance in cotton for growth assessment and lint yield prediction, European Journal of Agronomy, vol. 26, 2007, pp.335-344.

DOI: 10.1016/j.eja.2006.12.001

Google Scholar