Integrating data from remote sensing, geology and gravity for geological investigation in the Tarhunah area, Northwest Libya

Saadi, Nureddin M.; Aboud, Essam; Saibi, Hakim; Watanabe, Kenji

doi:10.1080/17538940802435844

Cited by 23 publications

(16 citation statements)

References 39 publications

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“…The Pan-African and Paleozoic structures (which make up the basement beneath Libya) trend in different directions and have a gentle to moderate dip to the southeast of Libya [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. Although intrusive rocks have been reported to form the widest segment of the crystalline basement series, e.g.…”

Section: Geological Setting and Basement Structure Of The Study Areamentioning

confidence: 99%

“…Previously, numerous investigations, e.g. [1,[9][10][11][12][13][14][15][16][17][18][19] have provided information about the Sirt Basin but few published reports (based on the analysis of potential field data) focus on the Ajdabiya Trough. Recently in 2010, a qualitative subsurface investigation by Saheel et al [20] concluded that different basement structure exists in opposite flanks of the trough.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of gravity and aeromagnetic data to determine structural trend and basement depth beneath the Ajdabiya Trough in northeastern Libya

et al. 2021

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In this study, we analyse both ground gravity and aeromagnetic data in order to delineate structural trends, fault systems and deduce sedimentary thicknesses within the Ajdabiya Trough in Libya’s northeast. A high-pass filter and a reduced-to-the-pole (RTP) transformation are applied to the gravity and aeromagnetic data respectively. Different filters are used to enhance the structural signatures and fault trends within the study area. The Werner deconvolution and source parameter imaging (SPI) techniques are applied to the RTP magnetic data for source depth estimation. Four well-data within the area are used as constraints in the two-dimensional forward modelling process. The results show that the Ajdabiya Trough is characterised by gravity anomaly highs and magnetic anomaly lows. The analysis of gravity data shows predominant Northeast–Southwest structural trends, whereas the analysis of magnetic data shows predominant North–South magnetic lineaments within the Ajdabiya Trough. The Euler deconvolution depth estimates of faults depths range between 1500 and 9500 m. The SPI estimates of the magnetic basement range between 2500 and 11,500 m beneath the study area (deepest beneath the Ajdabiya Trough). Constrained by the well-data, six major layers characterize the four profiles that are taken within the area. One of the profiles shows a high-density intrusion (about 4 km from the surface) within the sedimentary sequence. The intrusion may be the result of the rifting Sirt Basin which caused a weakening of the crust to allow for mantle intrusion.

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Section: Geological Setting and Basement Structure Of The Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of gravity and aeromagnetic data to determine structural trend and basement depth beneath the Ajdabiya Trough in northeastern Libya

et al. 2021

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“…Remote sensing as a tool for geological survey also has some limitations because remote sensing images mainly reflect surface information or shallow information, while most geological bodies, geological structures, and geological phenomena reflect three-dimensional information. The integration of geological, remote sensing and geophysical data limits the quantitative details of unknown regions, which can reduce the ambiguity of geological interpretation and improve the accuracy [86,87,88,89,90,91,92,93,94]. In addition, monitoring and understanding of geological processes also requires multidisciplinary analysis and integration of remote sensing data with field observations and underground geophysical data [30].…”

Section: Multidisciplinary Approachesmentioning

confidence: 99%

A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data

Xiao

Chen

et al. 2018

Preprint

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Geologists employ high-spatial-resolution (HR) remote sensing (RS) data for many diverse applications as they effectively reflect detailed geological information, enabling high-quality and efficient geological surveys. Applications of HR RS data to geological and related fields have grown recently. By analyzing these applications, we can better understand the results of previous studies and more effectively use the latest data and methods to efficiently extract key geological information. HR optical remote sensing data are widely used in geological hazard assessment, seismic monitoring, mineral exploitation, glacier monitoring, and mineral information extraction due to high accuracy and clear object features. Compared with optical satellite images, synthetic-aperture radar (SAR) images are stereoscopic and exhibit clear relief, strong performance, and good detection of terrain, landforms, and other information. SAR images have been applied to seismic mechanism research, volcanic monitoring, topographic deformation, and fault analysis. Furthermore, a multi-standard maturity analysis of the geological applications of HR images using literature from the Science Citation Index reveals that optical remote sensing data are superior to radar data for mining, geological disaster, lithologic, and volcanic applications, but inferior for earthquake, glacial, and fault applications. Therefore, geological remote sensing research needs to be truly multidisciplinary or interdisciplinary, ensuring more detailed and efficient surveys through cross-linking with other disciplines. Moreover, the recent application of deep learning technology to remote sensing data extraction has improved automatic processing and data analysis capabilities.

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“…Integrating remote-sensing and geophysical data has the potential to define the quantitative details of hitherto unknown areas and reduce the ambiguity of geological interpretation [1][2][3][4][5]. The results from remote-sensing and geophysical interpretation will support future mining exploration and development studies.…”

Section: Introductionmentioning

confidence: 99%

Applications of Remote Sensing in Geoscience

Saibi¹,

Bersi²,

Mia³

et al. 2018

Recent Advances and Applications in Remote Sensing

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Remote sensing is becoming an important and useful tool in mapping large, remote areas and has many applications in geosciences such as geologic and geo-structural mapping, mineral and water exploration, hydrocarbon exploration, natural hazards analysis, and geomorphology. The recent advances in remote-sensing imaging acquisition and availability of images can help geoscientists to explore and prepare maps quickly and evaluate the geo-potential of any specific area on the globe. Advances in remote-sensing data analysis techniques have improved the capacity to map the geological structures and regional characteristics and can serve in mineral exploration in complex and poorly understood regions. In this chapter, geophysical remotely sensed data (airborne geophysics) are integrated with other sources of remotely sensed data to analyze three separate areas, one each for geological structure, lineament presence and orientation, and geothermal potential. Three case studies are discussed in this chapter from three countries-Afghanistan, United Arab Emirates, and Algeria-to show the effectiveness of remote sensing in mapping and detecting geo-structural, geomorphological, and geothermal characteristics of ground surfaces.

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Integrating data from remote sensing, geology and gravity for geological investigation in the Tarhunah area, Northwest Libya

Cited by 23 publications

References 39 publications

Analysis of gravity and aeromagnetic data to determine structural trend and basement depth beneath the Ajdabiya Trough in northeastern Libya

Analysis of gravity and aeromagnetic data to determine structural trend and basement depth beneath the Ajdabiya Trough in northeastern Libya

A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data

Applications of Remote Sensing in Geoscience

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