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

The present study demonstrates the capability of multi-spectral data acquired from advanced spaceborne thermal emission and reflection radiometer (ASTER) satellite to explore the areas of massive carbonate deposits and associated rock formations for geological application. The extent of interdependence among VNIR, SWIR and TIR bands of ASTER spectral regions has been studied for discrimination of rock formations and identification of minerals of eastern mountain region (Saih Hatat window) of Sultanate of Oman and processed through digital image analysis and classification. Visual interpretation techniques have been employed to discriminate major quartz-rich silicates, carbonates and mafic ophiolite rock formations on the satellite image by carrying out subsequent image enhancement technique and principal component analysis (PCA). Color composite using nine VNIR and SWIR ASTER spectral bands by exposing the results of band ratios of (band 7 + band 9)/band 8 for limestone (CaCO3); (band 6 + band 8)/band 7 for dolomite (CaMgCO3); and band 2/band 1 for mafic-rich (Fe3+) rock formations differentiated the carbonates and ophiolite formations of the study region. The band ratios of 6/8 developed for quartz-rich silicates (shale, schist, sandstone, graywackes) of autochthonous Unit ‘A’ of Late Proterozoic to Early Ordovician and Tertiary age, 9/7 for the carbonates (limestone and dolomite) of Autochthonous rock Unit ‘B’ of Late Permian to Triassic age and 1/2 for mafic ophiolites (harzburgite, harzburgite with dunite) of Samail Nappe discriminated the different rock formations and increased the visual interpretations. It has well delineated the gray limestone and yellow dolomite of Autochthonous Unit ‘A’. The subsequent PCA realized on the 6 SWIR spectral bands enables very good validation and discrimination of quartz-rich silicates, carbonates and mafic ophiolite rock formations defined on previous image rationing techniques and existing geological map, and provides information comparable to surficial formations previously not well recognized. It is capable of distinguishing the ancient and recent alluvial fans consisting of clay, silt, sand and conglomerate formations of Tertiary age from the Autochthonous Unit ‘A’. Furthermore, the ASTER TIR spectral indices have been applied for assessing the effectiveness of TIR spectral bands on identification of quartz-rich silicates, carbonates and mafic-rich minerals and to evaluate the discriminated rock formations. The results agree well with existing geological maps and other published data. The study results show that the combination of visual interpretation, previous field knowledge and digital image processing techniques applied on the ASTER spectral regions have proved beneficial in studying carbonates and associated rock formations of eastern mountain region of Sultanate of Oman and can thus be used as a powerful tool to explore massive carbonate deposits or for geological mapping of other geographical regions where similar geological questions need to be resolved.

[1]  Alexander F. H. Goetz,et al.  DISCRIMINATION OF HYDROTHERMALLY ALTERED AND UNALTERED ROCKS IN VISIBLE AND NEAR INFRARED MULTISPECTRAL IMAGES , 1977 .

[2]  Yoshiki Ninomiya,et al.  Extracting Lithologic Information from Aster Multispectral Thermal Infrared Data in the Northeastern Pamirs , 2003 .

[3]  Shuhab D. Khan,et al.  Mapping of Muslim Bagh ophiolite complex (Pakistan) using new remote sensing, and field data , 2007 .

[4]  Shuhab D. Khan,et al.  The application of remote sensing techniques to the study of ophiolites , 2008 .

[5]  Y. Ninomiya,et al.  Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared “radiance-at-sensor” data , 2005 .

[6]  A. Crósta,et al.  Targeting key alteration minerals in epithermal deposits in Patagonia, Argentina, using ASTER imagery and principal component analysis , 2003 .

[7]  Michael Abrams,et al.  Remote sensing for porphyry copper deposits in southern Arizona , 1983 .

[8]  D. B. Segal,et al.  Use of multispectral scanner images for assessment of hydrothermal alteration in the Marysvale, Utah, mining area , 1983 .

[9]  D. Rothery,et al.  Mapping in the Oman ophiolite using enhanced Landsat Thematic Mapper images , 1988 .

[10]  Simon J. Hook,et al.  Mapping Hydrothermally Altered Rocks at Cuprite, Nevada, Using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), a New Satellite-Imaging System , 2003 .

[11]  John W. Salisbury,et al.  Mid-Infrared Spectral Behavior of Igneous Rocks. , 1974 .

[12]  Alexander F. H. Goetz,et al.  Remote sensing for exploration; an overview , 1983 .

[13]  John M. Bird,et al.  Spectral mapping of Alaskan ophiolites using landsat thematic mapper data , 1989 .

[14]  Michael S. Ramsey,et al.  Radiometric normalization and image mosaic generation of ASTER thermal infrared data: An application to extensive sand sheets and dune fields , 2008 .

[15]  Anne B. Kahle,et al.  Mapping of hydrothermal alteration in the Cuprite mining district, Nevada, using aircraft scanner images for the spectral region 0.46 to 2.36µm , 1977 .

[16]  Yoshiki Ninomiya,et al.  Mapping quartz, carbonate minerals, and mafic-ultramafic rocks using remotely sensed multispectral thermal infrared ASTER data , 2002, SPIE Defense + Commercial Sensing.

[17]  Yoshiki Ninomiya,et al.  Applying Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) spectral indices for geological mapping and mineral identification on the Tibetan Plateau , 2011, ArXiv.

[18]  Yasushi Yamaguchi,et al.  Overview of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) , 1998, IEEE Trans. Geosci. Remote. Sens..

[19]  Raymond E. Arvidson,et al.  Lithologic mapping in arid regions with Landsat thematic mapper data: Meatiq dome, Egypt , 1987 .

[20]  John W. Salisbury,et al.  Mid-infrared spectral behavior of sedimentary rocks , 1975 .

[21]  D. Rothery,et al.  The role of Landsat Multispectral Scanner (MSS) imagery in mapping the Oman ophiolite , 1984, Geological Society, London, Special Publications.

[22]  A. Ghulam,et al.  Lithological mapping in the Central Eastern Desert of Egypt using ASTER data , 2010 .

[23]  K. V. Ravindran,et al.  Mapping the Nidar Ophiolite Complex of the Indus Suture Zone, Northwestern-Trans Himalaya using IRS-1C/1D data , 2003 .

[24]  E. B. Knipling Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation , 1970 .

[25]  G. Hunt SPECTRAL SIGNATURES OF PARTICULATE MINERALS IN THE VISIBLE AND NEAR INFRARED , 1977 .

[26]  Fred A. Kruse,et al.  The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data , 1993 .

[27]  John W. Salisbury,et al.  Mid-Infrared Spectral Behavior of Metamorphic Rocks. , 1976 .

[28]  Yoshiki Ninomiya,et al.  Advanced remote lithologic mapping in ophiolite zone with ASTER multispectral thermal infrared data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[29]  T. Ramadan,et al.  Mapping Gold-Bearing Massive Sulfide Deposits in the Neoproterozoic Allaqi Suture, Southeast Egypt with Landsat TM and SIR-C/X SAR Images , 2001 .

[30]  J. K. Crowley,et al.  Airborne imaging spectrometer data of the Ruby Mountains, Montana: Mineral discrimination using relative absorption band-depth images , 1989 .

[31]  S. Gabr,et al.  Detecting areas of high-potential gold mineralization using ASTER data , 2010 .

[32]  Lawrence C. Rowan,et al.  Spectral reflectance of carbonatites and related alkalic igneous rocks; selected samples from four North American localities , 1986 .

[33]  D. Rothery Improved discrimination of rock units using Landsat Thematic Mapper imagery of the Oman ophiolite , 1987, Journal of the Geological Society.