Integrating remote sensing and aeromagnetic data for lithological and structural lineaments mapping in Abu Ghaylan - Kiklah - Tighrinna, northwest Libya

Keywords: Libya, Remote Sensing, Digital Elevation, Lineaments, Lithological Mapping, Aeromagnetic, Data Integration

Abstract

Problems Statement and Purpose. Libya is the fourth-largest country in Africa and the seventeenth-largest country in the world with area of 1,759,540 sq. km. Most of Libya is located in the Sahara Desert and known for being the driest and most remote regions with limited accessibility. In the 1970s, the Industrial Research Center in Libya began to create geological maps of all Libyan lands derived from analog (hard-copy) aerial photographs and geological field trips to some accessible places. Recently, remote sensing and data integration techniques using GIS are crucial to geological survey and mapping, which provides a useful tool for studying and investigating the geology of remote regions without having to physically access them. The purpose of this study is mapping lithological unites and structural lineaments in the region of Abu Ghaylan - Kiklah - Tighrinna, northwest Libya, using integrated remote sensing data and spatial analysis.

Data and Methods. Enhanced Thematic Mapper Plus (ETM+), Satellite Pour l'Observation de la Terre (SPOT 5), European Remote-Sensing Satellite-2 (ERS-2) Synthetic Aperture Radar (SAR) C-band, Digital Elevation Model (DEM), geologic maps, and aeromagnetic data were used to map and analyze the lithological and structural lineaments in the study area. Various fused images and IHS transformations were tested for lithological units recognizing. On the basis of spectral characteristics and topographic forms, lithological and structural lineaments were recognized and mapped. The extracted rasters and vectors data were integrated using remote sensing and GIS data integration techniques.

Ground Truthing. The purpose of the ground truthing was to validate the DEM-based structural mapping and identify any landslides, streams, or valleys that may appear as edges in the DEM data. Also, determining the locations of the artificial lines, that appears in the processed images as geological lineaments and edges.

Results and Discussion. The results indicate that remote sensing data were very useful in distinguishing between various rock units and recognizing geological lineaments in the study area. The generated lithologic map shows fifteen geological formations with apparent and accurate boundaries. The results exposed new geological lineaments in the study area. The direction of the extracted geological lineaments is dominantly NW-SE. The magnetic data reveal the boundary of sedimentary basin in the study area. The basement's depth within the basin varies from 122 meters to 4.5 kilometers. The extracted geological lineaments were analyzed and interpreted to provide more information about the main structural trends affecting the study area. The methods used in this study for remote sensing image analysis and field geological surveys can be used successfully in similar regions of Libya.

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Author Biographies

Nureddin Saadi , University of Tripoli

PhD (Geological Engineering), Lecturer

Ousama Elkoul, College of Engineering Technology

MSc (Geology), Lecturer

Saleh A. Sadeg , University of Tripoli

PhD (Geological Engineering), Professor

References

Thiele, S.T., Lorenz, S., Kirsch, M., Cecilia Contreras Acosta, I., Tusa, L., Herrmann, E., Möckel, R., Gloaguen, R. (2021). Multi-Scale, Multi-Sensor Data Integration for Automated 3-D Geological Mapping. Ore Geology Reviews, 136, 104252. DOI: https://doi.org/10.1016/j.oregeorev.2021.104252

Shebl, A., Abdellatif, M., Elkhateeb, S.O., Csámer, Á. (2021). Multisource data analysis for gold potentiality map-ping of Atalla area and its environs, Central Eastern Desert, Egypt. Minerals, 11(6), 641. DOI: https://doi.org/10.3390/min11060641

Wróbel, M., Stan-Kłeczek, I., Marciniak, A., Majdański, M., Kowalczyk, S., Nawrot, A., Cader, J. (2022). Integrated Geophysical Imaging and Remote Sensing for Enhancing Geological Interpretation of Landslides with Uncertain-ty Estimation–A Case Study from Cisiec, Poland. Remote Sensing, 15(1), 238. DOI: https://doi.org/10.3390/rs15010238.

Khalifa, A., Bashir, B., Alsalman, A., Öğretmen, N. (2021). Morpho-tectonic Assessment of the Abu-Dabbab Area, Eastern Desert, Egypt: Insights from Remote Sensing and Geospatial Analysis. International Journal of Geo-Information, 10(11), 784. DOI: https://doi.org/10.3390/ijgi10110784

Lu, Y., Yang, C., Meng, Z. (2021). Lithology discrimination using sentinel-1 dual-pol data and SRTM data. Remote Sensing. 13 (7), 1280. DOI: https://doi.org/10.3390/rs13071280

Salem, M.J., Oun, K.M., Seddiq, H.M. (2003). The Geology of Northwest Libya II: Second Symposium on the Sedi-mentary Basin of Libya, Tripoli, Libya, 3, 123-134.

Moustafa, M.S., Pope, M.C., Mriheel, I.Y. (2019). High resolution sequence stratigraphy of the Middle–Late Trias-sic Al Aziziyah formation, northwest Libya. Journal of African Earth Sciences, 155, 75-89. DOI: https://doi.org/10.1016/j.jafrearsci.2019.03.009

Kamel, M., Tolba, A., AbuBakr, M.M., Omar, M.M. (2022). Utilization of Landsat-8 data for lithological mapping of neoproterozoic basement rocks in north Qena-Safaga road, North Eastern Desert, Egypt. Journal of African Earth Sciences, 186, 104420. DOI: https://doi.org/10.1016/j.jafrearsci.2021.104420

Marzouki, A., Dridri, A. (2023). Lithological discrimination and structural lineaments extraction using Landsat 8 and ASTER data: a case study of Tiwit (Anti-Atlas, Morocco). Environmental Earth Sciences, 82(125). DOI: https://doi.org/10.1007/s12665-023-10831-4

Ghrefat, H., Kahal, A.Y., Abdelrahman, K., Alfaifi, H.J., Qaysi, S. (2021). Utilization of multispectral landsat-8 re-mote sensing data for lithological mapping of southwestern Saudi Arabia. Journal of King Saud University - Sci-ence, 33(4), 101414. DOI: https://doi.org/10.1016/j.jksus.2021.101414

Santolaria, P., Ayala, C., Pueyo, E.L., Rubio, F.M., Soto, R., Calvin, P., Luzón, A., Rodríguez-Pintó, A., Oliván, C., Casas-Sainz, A.M. (2020). Structural and geophysical characterization of the western termination of the South Pyrenean triangle zone. Tectonics, 39(8). DOI: https://doi.org/10.1029/2019TC005891.

Saibi, H., Amir, G., Mohamed, F.S. (2019). Subsurface structural mapping using gravity data of Al-Ain Region, Abu Dhabi Emirate, United Arab Emirates. Geophysical Journal International, 216(2), 1201-1213. DOI: https://doi.org/10.1093/gji/ggy489

Yuan, Y., Gao, J.Y., Chen, L.N. (2016). Advantages of horizontal directional Theta method to detect the edges of full tensor gravity gradient data. Journal of Applied Geophysics, 130, 53-61. DOI: https://doi.org/10.1016/j.jappgeo.2016.04.009

Ibraheem, I.M., Haggag, M., Tezkan, B. (2019). Edge Detectors as Structural Imaging Tools Using Aeromagnetic Data: A Case Study of Sohag Area, Egypt. Geosciences 9(5), 211. DOI: https://doi.org/10.3390/geosciences9050211

IRC (Industrial Research Centre), 1985. Geological Map of Libya, 1:1,000,000. Industrial Research Centre, Libya.

El Hinnawy, M., Cheshitev, G. (1975). Geological map of Libya. Explanatory booklet, sheet Tarabulus NI 33-13. Industrial Research Centre, Tripoli.

Zaccagna, D. (1919). Itinerari geologici della Tripolitania occidental con appendic paleontologic. Mem. Descr. Carta Geol. Ital. XVIII, 126, Roma.

Lipparini, T. (1940). Tettonica e geomorfologia della Tripolitania. Bulletin of the Geological Society of Italy, Ro-ma 59, 221-301.

Zivanovic, M. (1977). Geological map of Libya. Explanatory booklet, sheet Bani Walid NH 33-2. Industrial Re-search Centre, Tripoli.

Piccoli, G. (1971). Outlines of Volcanism in Northern Tripolitania. Symposium on the Geology of Libya, University of Libya, Tripoli 232–331.

Christie, A.M. (1966). Geology of Gharyan Area, Tripolitania, Libya. Ministry of Industry, Geological Section Bul-letin, No. 5, Tripoli.

Liu, J.G., Phillippa, J.M. (2016). Image Processing and GIS for Remote Sensing: Techniques and Applications. Ox-ford: Wiley-Blackwell.

Lillesand, T.M., Kiefer, R.W. (2015). Remote Sensing and Image Interpretation. 7th Edition, Wiley, New York.

Abduh, A.G., Usman, F.C.A., Tampoy, W.M., Manyoe, I.N. (2021). Remote Sensing Analysis of Lineaments using Multidirectional Shaded Relief from Digital Elevation Model (DEM) in Olele Area, Gorontalo. Journal of Physics: Conference Series, 1783, 012095. DOI: https://doi.org/10.1088/1742-6596/1783/1/012095

Sabins, F.F., Ellis, J.M. (2020). Remote Sensing: Principles, Interpretation, and Applications, 4th ed.; Waveland Press: Long Grove, IL, USA.

Abdelsalam, M.G., Stern, R.J., Berhane, W.G. (2000). Mapping gossans in arid regions with Landsat TM and SIR-C images: the Beddaho alteration zone in northern Eritrea. Journal of African Earth Sciences, 30 (4), 903–916. DOI: https://doi.org/10.1016/S0899-5362(00)00059-2

S.P.L.A.J. (1979). Topographic map of Libya, 1:50,000. Polservice-Geokart, Poland.

Luirei, K., Lokho, K., Longkumer, L., Kothyari, G., Rai, R., Rawat, I.S., Nakhro, D. (2021). Morphotectonic evolution of the Quaternary landforms in the Yangui River basin in the Indo-Myanmar Range. Journal of Asian Earth Sci-ences, 218(15). DOI: https://doi.org/10.1016/j.jseaes.2021.104877

Wajid, A.A., Anees, M., Gorchani, J.K., Shahzad, K., Israr, A., Shafique, M. (2021). Lineament mapping for a part of the Central Sulaiman Fold–Thrust Belt (SFTB), Pakistan. Arabian Journal of Geosciences, 14, 1438. DOI: https://doi.org/10.1007/s12517-021-07784-y

Salawu, N.B, Olatunji, S., Adebiyi, L.S, Olasunkanmi, N.K, Dada, S.S. (2019). Edge detection and magnetic base-ment depth of Danko area, northwestern Nigeria, from low-latitude aeromagnetic anomaly data. SN Applied Sci-ences, 1, 1056. DOI: https://doi.org/10.1007/s42452-019-1090-3

Published
2023-06-01
Cited
How to Cite
Saadi , N., Elkoul, O., & Sadeg , S. A. (2023). Integrating remote sensing and aeromagnetic data for lithological and structural lineaments mapping in Abu Ghaylan - Kiklah - Tighrinna, northwest Libya. Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (58), 97-110. https://doi.org/10.26565/2410-7360-2023-58-08