Pixel-based and sub-pixel analysis of ASTER data for identifying lithological and mineralogical units; a case study of Tutak area, Fars Province

Authors

Department of Earth Sciences, Faculty of Sciences, Shiraz University, Shiraz, Iran

Abstract

The Tutak area (northeastern part of Shiraz city) located in Sanandaj-Sirjan metamorphic Zone (SSZ) was chosen as study area because of having two important resources of iron and copper. Two metamorphic complexes of SSZ namely Surian and Tutak are the main host of these resources. The algorithms of Spectral Information Divergence and Adaptive Coherence Estimator were used to detect and distinguish rock units and indicator minerals. Using spectra of field samples, the pixel-based algorithm of Spectral Information Divergence enhanced greenschist and marble lithological units because of their significant spectral differences in VNIR region. Overall accuracy and kappa coefficients resulted by using this algorithm for detection of rock units were 0.83 and 0.72, respectively. Using data of USGS spectral library, the outputs of the sub-pixel algorithm of Adaptive Coherence Estimator successfully identified pixels with high abundances of chlorite and ankerite. Results showed that chlorite areas with its abundances more than 50% overlapped greenschist units, and the areas with chlorite abundances above 75% had acceptable conformity with the copper deposits, most prominent of which is Mazaijan copper deposit. The areas with more than 50% ankerite overlapped the marble units, and its abundances above 75% indicated an increase of the abundances of this mineral compared to the minerals of calcite and dolomite in this rock unit with approaching iron mineralization. So, based on study results, the Adaptive Coherence Estimator technique can be suggested to accurately detect and distinguish the minerals of the mineralogical reservoirs in study area.

Keywords

References

Abrams, M., Hook, S.J., 1995. Simulated ASTER data for geologic studies. IEEE Transactions on Geoscience and Remote Sensing 33, 692–699.
Adams, J.B., Gillespie, A.R., 2006. Remote sensing of landscapes with spectral images: A physical modeling approach, 3rd edition Cambridge University Press, p. 1150.
Adiri, Z., El Harti, A., Jellouli, A., Lhissou, R., Maacha, L., Azmi, M., Bachaoui, E.M., 2017. Comparison of Landsat-8, ASTER and Sentinel 1 satellite remote sensing data in automatic lineaments extraction: A case study of Sidi Flah-Bouskour inlier, Moroccan Anti Atlas. Advances in Space Research 60, 2355-2367.
Ayoobi, I., Tangestani, M.H., 2017. Evaluation of relative atmospheric correction methods on ASTER VNIR–SWIR data in playa environment. Carbonates and Evaporites 32, 539-546.
Campbell, J.B., 1996. Introduction to remote sensing, 2nd edition, Taylor & Francis Ltd, London, 968.
Chang, C., 2000. An Information Theoretic Approach to spectralsariability, Similarity, and discrimination for hyperspectral image analysis. IEETransactions on Information theory 46, 26-42.
Chen, Q., Zhao, Z., Jiang, Q., Tan, S., Tian, Y., 2018. Identification of metamorphic rocks in Wuliangshan Mountains (Southwest China) using ASTER data. Arabian Journal of Geosciences11, 311-356.
Clark, R. N., 1999. Spectroscopy of rocks and minerals, and principles of spectroscopy. Manual of remote sensing 3, 3-58.
Clark, R.N., King, T.V.V., Klejwa, M., Swayze, G.A., Vergo, N., 1990. High Spectral Resolution Reflectance Spectroscopy of Minerals. Journal of Geophysical Research 95, 12653-12680.
Cudahy, T., Hewson, R., 2002. ASTER geological case histories: porphyry-skarnepithermal, iron oxide Cu-Au and Broken hill Pb-Zn-Ag. Annual General Meeting of the Geological Remote Sensing Group, ASTER Unveiled, Burlington House, Piccadilly, London, UK.
Ebrahimi S., 1999. Economic geology investigation of the Toutakcomplex, map of Surian, scale 1:100,000. M.Sc. thesis, Shahid Beheshti University, Tehran.
Echtler, H., Segl, K., Dickerhof, C., Chabrillat, S., Kaufmann, H.J., 2003. Isograde mapping and mineral identification on the island of Naxos, Greece, using DAIS 7915 hyperspectral data, Remote Sensing for Environmental Monitoring. GIS Applications, and Geology 61, 115-123.
Foody, G.M., 2004. Sub-pixel methods in remote sensing, Remote sensing image analysis: Including the spatial domain, Springer, Dordrecht 37-49.
Green, A.A., Craig, M.D., 1985. Analysis of aircraft spectrometer data with logarithmic residuals. JPL Publ85, 111-119.
Gupta, R. P., 2003. Remote Sensing Geology, 655 p Springer Verlag.
Houshmandzadeh, A., Soheili, M., 1990a. Description of Eqlid 1:250,000scale map, No. G10, Geological Survey of Iran, 157p.
Keshava, N., 2003. A survey of spectral unmixing algorithms. Lincoln laboratory journal 14, 55-78.
Klompenhouwer, M.A., Langendijk, E.H.A., Belik, O., Hekstra, G.J., 2011. Washington, DC: U.S. Patent and Trademark Office 7, 883-932.
Meshkani, S.A., Mehrabi, B., Yaghubpur, A., Sadeghi, M., 2013. Recognition of the regional lineaments of Iran: Using geospatial data and their implications for exploration of metallic ore deposits. Ore Geology Reviews 55, 48-63.
Mousivand F., 2010. Geology, geochemistry and genesis of the Chahgaz Zn–Pb–Cu deposit, south of Shahre Babak; and its comparison withthe Bavanat Cu–Zn–Ag volcanogenic massive sulfide deposit, in theSouth Sanandaj–Sirjan zone. Ph.D. thesis, TarbiatModares University, Tehran.
Oveisi B., 2001. Geological map of Surian, scale 1:100,000. GeologicalSurvey of Iran, map No. 6750.
Rajendran, S., Nasir, S., 2015. Mapping of high pressure metamorphics in the As Sifah region, NE Oman using ASTER data. Advances in Space Research 55, 1134-1157.
Rajendran, S., Nasir, S., 2017. Characterization of ASTER spectral bands for mapping of alteration zones of volcanogenic massive sulphide deposits. Ore Geology Reviews 88, 317-335.
Rajendran, S., Hersi, O.S., Al-Harthy, A., Al-Wardi, M., El-Ghali, M.A., Al-Abri, A.H., 2011. Capability of advanced spaceborne thermal emission and reflection radiometer (ASTER) on discrimination of carbonates and associated rocks and mineral identification of eastern mountain region (Saih Hatat window) of Sultanate of Oman. Carbonates and evaporates 26, 351-364.
Rockwell, B.W., Hofstra, A.H., 2008. Identification of quartz and carbonate minerals across northern Nevada using ASTER thermal infrared emissivity data -Implications for geologic mapping and mineral resource investigations in well-studied and frontier areas. Geosphere 4, 218-246.
Rowan, L.C., Mars, J.C., 2003. Lithologic mapping in the Mountain Pass, California area using advanced spaceborne thermal emission and reflection radiometer (ASTER) data. Remote Sensing of Environment 84, 350-366.
Truslow, E., 2012. Performance evaluation of the adaptive cosine estimator detector for hyperspectral imaging applications. Doctoral dissertation, Northeastern University.
Van Der Meer, F., 1998. Imaging spectrometry for geological remote sensing. Geologie en Mijnbouw 77, 137-151.
Wang, Q., Wang, L., Liu, D., 2012. Integration of spatial attractions between and within pixels for sub-pixel mapping. Journal of Systems Engineering and Electronics 23, 293-303.
Advanced Applied Geology
Volume 10, Issue 3
October 2020
Pages 382-390

Files

Share

How to cite

Statistics