Discriminación de unidades geológicas en el margen sur de la montaña Alborz en Irán utilizando imágenes de satélite ASTER Komeil Rokni

Komeil Rokni; Davood  Akbari

doi:10.3989/estgeogr.2024161.161

Authors

Komeil Rokni Gonbad Kavous University https://orcid.org/0000-0003-4238-4017
Davood Akbari University of Zabol https://orcid.org/0000-0001-8617-8093

DOI:

https://doi.org/10.3989/estgeogr.2024161.161

Keywords:

ASTER imagery, Alborz Mountain, Geological mapping, BRs-PCs

Abstract

In this study, the effectiveness of several image processing techniques, including the band ratio (BR), decorrelation stretch (DS), principal components analysis (PCA), minimum noise fraction (MNF), as well as the ASTER false color composition RGB: 468, was evaluated for the extraction of geological units from ASTER satellite imagery in southern margin of Alborz Mountain in Iran. In addition, a method based on Principal Components of Band Ratios (BRs-PCs) was proposed for discrimination of geological units from ASTER imagery. In this respect, a scene of ASTER Level1T VNIR+SWIR data of the year 2004 was acquired, and a geological map scale 1:100000 of the study area was used as the reference. The results indicated suitability of the conventional image processing techniques for discrimination of geological units, especially the PCA technique, which clearly highlighted Limestone, Basalt, Sandstone, Tuff, Conglomerate, and Dolomite from the ASTER image. The study also demonstrated effectiveness of the BRs-PCs method for geological mapping. This approach considered the advantages of both PCA and BR techniques, therefore, provided a superior result comparing to any of these techniques alone, and also better result comparing to other techniques used in this study. Thus, it may be useful for geological mapping along the whole Alborz Mountain with similar lithological and geomorphological conditions.

Downloads

Download data is not yet available.

References

Aali, A. A., Shirazy, A., Shirazi, A., Pour, A. B., Hezarkhani, A., Maghsoudi, A., & Khakmardan, S. (2022). Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak Region, Yazd, Iran. Remote Sensing, 14(23), 6018. https://doi.org/10.3390/rs14236018

Abdelouhed, F., Ahmed, A., Abdellah, A., Mohammed, I., & Zouhair, O. (2021). Extraction and analysis of geological lineaments by combining ASTER-GDEM and Landsat 8 image data in the central high atlas of Morocco. Natural Hazards, 111(2), 1907-1929. https://doi.org/10.1007/s11069-021-05122-9

Aboelkhair, H., & Watanabe, Y. (2011). Using remotely sensed multispectral ASTER data for mapping extensive basalt flow around Al Madinah area, Saudi Arabia. In First International Geomatics Symposium in Saudi Arabia, Geomatics Technologies in the City, GTC.

Adams, J. B., & Filice, A. L. (1967). Spectral reflectance 0.4 to 2.0 microns of silicate rock powders. Journal of Geophysical Research, 72(22), 5705-5715. https://doi.org/10.1029/JZ072i022p05705

Amer, R., Kusky, T., & Ghulam, A. (2010). Lithological mapping in the Central Eastern Desert of Egypt using ASTER data. Journal of African Earth Sciences, 56(2-3), 75-82. https://doi.org/10.1016/j.jafrearsci.2009.06.004

Arabameri, A., Roy, J., Saha, S., Blaschke, T., Ghorbanzadeh, O., & Tien Bui, D. (2019). Application of probabilistic and machine learning models for groundwater potentiality mapping in Damghan sedimentary plain, Iran. Remote Sensing, 11(24), 1-35. https://doi.org/10.3390/rs11243015

Bernknopf, R. L. (1993). Societal value of geologic maps (Vol. 1111). DIANE Publishing. https://doi.org/10.3133/cir1111

Bhan, S. K., & Krishnanunni, K. (1983). Applications of remote sensing techniques to geology. Proceedings of the Indian Academy of Sciences Section C: Engineering Sciences, 6, 297-311. https://doi.org/10.1007/BF02881136

Compton, R. R. (1985). Geology in the Field (p. 416). New York: Wiley.

Davis, G. H., Reynolds, S. J., & Kluth, C. F. (2011). Structural geology of rocks and regions. John Wiley & Sons.

Fal, S., Maanan, M., Baidder, L., & Rhinane, H. (2019). The contribution of Sentinel-2 satellite images for geological mapping in the south of Tafilalet basin (Eastern Anti-Atlas, Morocco). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 75-82. https://doi.org/10.5194/isprs-archives-XLII-4-W12-75-2019

Gabr, S., Ghulam, A., & Kusky, T. (2010). Detecting areas of high-potential gold mineralization using ASTER data. Ore Geology Reviews, 38(1-2), 59-69. https://doi.org/10.1016/j.oregeorev.2010.05.007

Gillespie, A., Rokugawa, S., Matsunaga, T., Cothern, J. S., Hook, S., & Kahle, A. B. (1998). A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. IEEE Transactions on Geoscience and Remote Sensing, 36(4), 1113-1126. https://doi.org/10.1109/36.700995

Green, A. A., Berman, M., Switzer, P., & Craig, M. D. (1988). A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing, 26(1), 65-74. https://doi.org/10.1109/36.3001

Hewson, R. D., Cudahy, T. J., Mizuhiko, S., Ueda, K., & Mauger, A. J. (2005). Seamless geological map generation using ASTER in the Broken Hill-Curnamona province of Australia. Remote Sensing of Environment, 99(1-2), 159-172. https://doi.org/10.1016/j.rse.2005.04.025

Hewson, R., Robson, D., Carlton, A., & Gilmore, P. (2017). Geological application of ASTER remote sensing within sparsely outcropping terrain, Central New South Wales, Australia. Cogent Geoscience, 3(1), 1319259. https://doi.org/10.1080/23312041.2017.1319259

Hook, S. J., Gabell, A. R., Green, A. A., & Kealy, P. S. (1992). A comparison of techniques for extracting emissivity information from thermal infrared data for geologic studies. Remote Sensing of Environment, 42(2), 123-135. https://doi.org/10.1016/0034-4257(92)90096-3

Inzana, J., Kusky, T., Higgs, G., & Tucker, R. (2003). Supervised classifications of Landsat TM band ratio images and Landsat TM band ratio image with radar for geological interpretations of central Madagascar. Journal of African Earth Sciences, 37(1-2), 59-72. https://doi.org/10.1016/S0899-5362(03)00071-X

Kenea, N. H. (1997). Improved geological mapping using Landsat TM data, Southern Red Sea Hills, Sudan: PC and IHS decorrelation stretching. International Journal of Remote Sensing, 18(6), 1233-1244. https://doi.org/10.1080/014311697218386

Khan, S. D., Mahmood, K., & Casey, J. F. (2007). Mapping of Muslim Bagh ophiolite complex (Pakistan) using new remote sensing, and field data. Journal of Asian Earth Sciences, 30(2), 333-343. https://doi.org/10.1016/j.jseaes.2006.11.001

Kühn, J., Brenning, A., Wehrhan, M., Koszinski, S., & Sommer, M. (2009). Interpretation of electrical conductivity patterns by soil properties and geological maps for precision agriculture. Precision Agriculture, 10(6), 490-507. https://doi.org/10.1007/s11119-008-9103-z

Loughlin, W. P. (1991). Principal component analysis for alteration mapping. Photogrammetric Engineering and Remote Sensing, 57(9), 1163-1169.

NASA, L. D. (2021). ASTER level 1 precision terrain corrected registered at-sensor radiance V003 [data set]. NASA EOSDIS land processes DAAC.

Ninomiya, Y., Fu, B., & Cudahy, T. J. (2005). Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared "radiance-at-sensor" data. Remote Sensing of Environment, 99(1-2), 127-139. https://doi.org/10.1016/j.rse.2005.06.009

Othman, A. A., & Gloaguen, R. (2017). Integration of spectral, spatial and morphometric data into lithological mapping: A comparison of different Machine Learning Algorithms in the Kurdistan Region, NE Iraq. Journal of Asian Earth Sciences, 146, 90-102. https://doi.org/10.1016/j.jseaes.2017.05.005

Pournamdari, M., Hashim, M., & Pour, A. B. (2014). Spectral transformation of ASTER and Landsat TM bands for lithological mapping of Soghan ophiolite complex, south Iran. Advances in Space Research, 54(4), 694-709. https://doi.org/10.1016/j.asr.2014.04.022

Sabins, F. F. (1999). Remote sensing for mineral exploration. Ore Geology Reviews, 14(3-4), 157-183. https://doi.org/10.1016/S0169-1368(99)00007-4

Sultan, M., Arvidson, R. E., Sturchio, N. C., & Guinness, E. A. (1987). Lithologic mapping in arid regions with Landsat thematic mapper data: Meatiq dome, Egypt. Geological Society of America Bulletin, 99(5), 748-762. https://doi.org/10.1130/0016-7606(1987)99<748:LMIARW>2.0.CO;2

Sunar, F. (1998). An analysis of changes in a multi-date data set: a case study in the Ikitelli area, Istanbul, Turkey. International Journal of Remote Sensing, 19(12), 2255-2268. https://doi.org/10.1080/014311698216215

Tommaso, C., & Rubinstein, N. (2007). Integrating geophysical and satellite techniques for geological modelling: The NW sector of the San Jorge Basin, Argentina. International Journal of Remote Sensing, 28(14), 2991-3003.

van der Meer, F., & de Jong, S. M. (2001). Imaging spectrometry: Basic principles and prospective applications. Springer Science & Business Media.

van der Meer, F. D., Hecker, C. A., van Ruitenbeek, F. J. A., van der Werff, H. M. A., Bakker, W. H., Noomen, M. F., & Hamre, T. (2012). Multi- and hyperspectral geologic remote sensing: A review. International Journal of Applied Earth Observation and Geoinformation, 14(1), 112-128. https://doi.org/10.1016/j.jag.2011.08.002

van der Werff, H. M. A., & van der Meer, F. D. (2016). Sentinel-2 for mapping iron absorption feature parameters. Remote Sensing, 8(6), 529. https://doi.org/10.3390/rs8110883

Vicente-Serrano, S. M., Pérez-Cabello, F., & Lasanta, T. (2008). Remote sensing of environmental indicators of desertification. Environmental Science & Policy, 10(2), 133-142.

Zhang, J., Sun, Q., Wang, C., Dong, W., & Fu, R. (2021). Geological mapping and rock discrimination using deep learning on hyperspectral images: A case study in Zhaoyuan City, China. Remote Sensing, 13(20), 3980.