Assessment and Evaluation of Band Ratios, Brovey and HSV Techniques for Lithologic Discrimination and Mapping Using Landsat ETM+ and SPOT-5 Data


This study aims to assess and to evaluate band ratios, brovey and HSV (Hue-Saturation-Value) techniques for discrimination and mapping the basement rock units exposed at Wadi Bulghah area, Saudi Arabia using multispectral Landsat ETM+ and SPOT-5 panchromatic data. FieldSpec instrument is utilized to collect the spectral data of diorite, marble, gossan and volcanics, the main rock units exposed at the study area. Spectral profile of diorite exhibits very distinguished absorption features around 2.20 μm and 2.35 μm wavelength regions. These absorption features lead to lowering the band ratio values within the band-7 wavelength region. Diorite intrusions appear to have grey and dark grey image signatures on 7/3 and 7/2 band ratio images respectively. On the false color composite ratio image (7/3:R; 7/2:G and 5/2:B), diorite, marble, gossan and volcanics have very dark brown, dark blue, white and yellowish brown image signatures respectively. Image fusion between previously mentioned FCC ratio image and high spatial resolution (5 meters) SPOT-5 panchromatic image is carried out by using brovey and HSV transformation methods. Visual and statistical assessment methods prove that HSV fused image yields best image interpretability results rather than brovey image. It improves the spatial resolution of the original FCC ratios image with acceptable spectral preservation.

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Madani, A. (2014) Assessment and Evaluation of Band Ratios, Brovey and HSV Techniques for Lithologic Discrimination and Mapping Using Landsat ETM+ and SPOT-5 Data. International Journal of Geosciences, 5, 5-11. doi: 10.4236/ijg.2014.51002.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] A. M. Al Shanti and A. H. Mitchell, “Late Precambrian Subduction and Collision in the Al Amar-Idsas Region, Arabian Shield, Kingdom of Saudi Arabia,” Tectonophysics, Vol. 30, 3-4, 1976, pp. 41-47.
[2] A. R. Bakor, I. G. Gass and C. Neary, “Jabal Al Wask, Northwest Saudi Arabia, an Eocambrian Back-Arc Ophiolite,” Earth and Planetary Science Letters, Vol. 30, 1, 1976, pp. 1-9.
[3] V. E. Camp, “Island-Arcs and Their Role in the Evolution of the Western Arabian Shield,” Geological Society of America Bulletin, Vol. 95, 8, 1984, pp. 913-921.<913:IAATRI>2.0.CO;2
[4] A. C. Barnicoat, S. R. Freeman, I. H. Henderson and G. M. Phillips, “Structural Controls on Gold Mineralization in the Bulgah Prospect,” Rock Deformation Research— Leeds University, Report 03, 1989, p. 101.
[5] A. Madani and H. Harbi, “Spectroscopy of the Mineralized Tonalite-Diorite Intrusions, Bulghah Gold Mine Area, Saudi Arabia: Effects of Opaques and Alteration Products on Fieldspec Data,” Ore Geology Reviews, Vol. 44, 2012, pp. 148-157.
[6] S. Drury, “Image Interpretation in Geology,” 2nd Edition, Chapman and Hall, London, 1993.
[7] P. S. Chavez and J. Bowell, “Comparison of the Spectral Information Content of Landsat Thematic Mapper and SPOT for Three Different Sites in the Phoenix, Arizona Region,” Photogrammetric Engineering & Remote Sensing, Vol. 54, No. 12, 1988, pp. 1699-1708.
[8] V. K. Schettigara, “A Generalized Component Substitution Technique for Spatial Enhancement of Multispectral Mages Using Higher Resolution Data,” Photogrammetric Engineering & Remote Sensing, Vol. 58, No. 5, 1992, pp. 561-567.
[9] ASD, “FieldSpec® 3 User Manual,” ASD Inc., Boulder, 2007.
[10] P. Curran, “Principles of Remote Sensing,” Longman Scientific & Technical, Harlow, 1985.
[11] W. G. Rees, “Physical Principles of Remote Sensing,” Cambridge University Press, Cambridge, 1990.
[12] A. Pohl and L. Van Genderen, “Review Article Multisensory Image Fusion in Remote Sensing: Concepts, Methods and Applications,” International Journal or Remote Sensing, Vol. 19, No. 5, 1998, pp. 823-854.
[13] A. Madani, E. Abdel Rahman, K. Fawzy and A. Emam, “Mapping of the Hydrothermal Alteration Zones at Haimur Gold Mine Area, South Eastern Desert, Egypt Using Remote Sensing Techniques,” The Egyptian Journal of Remote Sensing & Space Sciences, Vol. 6, 2003, pp. 47-60.
[14] E. Marcelino, A. Formaggio and E. Maeda, “Landslide Inventory Using Image Fusion Techniques in Brazil,” International Journal of Applied Earth Observation and Geoinformation, Vol. 11, 3, 2009, pp. 181-191.
[15] S. Klonus and M. Ehlers, “Performance of Evaluation Methods in Image Fusion,” 12th International Conference on Information Fusion, Seattle, 6-9 July 2009, pp. 1409-1416.
[16] M. Yakhdani, and A. Azizi, “Quality Assessment of Image Fusion Techniques for Multisensory High Resolution Satellite Images (Case Study: IRS-P5 and IRS-P6 Satellite Images),” ISPRS TC VII Symposium, Vol. 39, 2010, pp. 204-209.

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