Fractal analysis of lineaments using CryoSat-2 and Jason-1 satellite-derived gravity data: Evidence of a uniform tectonic activity over the middle part of the Central Indian Ridge

Sahoo, Soumyashree Debasis; Narayan, Satya; Pal, Sanjit Kumar

doi:10.1016/j.pce.2022.103237

Cited by 18 publications

(6 citation statements)

References 48 publications

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“…Due to the selected window being large, most of the small lineaments in various directions along the spreading axis of the Central Indian ridge were not detected which finds a major concern in the lineament density and fractal estimates of Sahoo et al (2022a). The low fractal dimension and lineament density values computed by Sahoo et al (2022a) over the present study region (Middle block) indicate a greater uniformity in the lineament distribution, which could need a new interpretation based on the present study results. Here, the present study is successful in enhancing the quality of the structural map and producing a clear image of the subsurface features.…”

Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 99%

“…One of the recent studies by Sahoo et al (2022a) gave a lineament map generated by the normalized standard deviation method, which is dependent on the window size. Due to the selected window being large, most of the small lineaments in various directions along the spreading axis of the Central Indian ridge were not detected which finds a major concern in the lineament density and fractal estimates of Sahoo et al (2022a). The low fractal dimension and lineament density values computed by Sahoo et al (2022a) over the present study region (Middle block) indicate a greater uniformity in the lineament distribution, which could need a new interpretation based on the present study results.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of gravity data for extracting structural features of the northern region of the Central Indian Ridge

Pham

Prasad

2023

Vietnam J. Earth Sci.

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In this study, structural lineaments and fracture zones of the northern region of the Central Indian Ridge have been determined using gravity data from XGM2019e_2159 global gravity model. In this scope, firstly, the edge detection performances of the gradient amplitude of the tilt angle (THDR), theta map (TM), improved local phase (ILP), and improved logistic (IL) methods have been evaluated on synthetic examples. The results show that the IL method effectively avoids false edges and produces high-resolution edges. Then, the methods are applied to the gravity anomaly of the northern region of the Central Indian Ridge. It has been determined that the most prominent structural lineaments observed over the region are in the NE-SW and NW-SE directions. These trends match reasonably with the significant trends of the Tilt depth solutions that show a depth range of 2.2 km to 7 km for different geological structures. In addition, the obtained results are compatible with the known fracture zones of the study area. The findings help us to improve our understanding of the structure and tectonic framework of the study region.

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Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Analysis of gravity data for extracting structural features of the northern region of the Central Indian Ridge

Pham

Prasad

2023

Vietnam J. Earth Sci.

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“…Many techniques have been developed for enhancing gravity data [16][17][18][19][20][21][22]. These techniques are based on gradients of the anomalous field [23][24][25][26]. Unbalanced and balanced edge detection techniques are the two primary types of edge enhancement techniques [27].…”

Section: Introductionmentioning

confidence: 99%

Gravity Data Enhancement Using the Exponential Transform of the Tilt Angle of the Horizontal Gradient

Pham,

Oliveira,

et al. 2023

Minerals

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Detecting the boundaries of geologic structures is one of the main tasks in interpreting gravity anomalies. Many methods based on the derivatives of gravity anomalies have been introduced to map the source boundaries. The drawbacks of traditional methods are that the estimated boundaries are divergent or false boundaries appear in the output map. Here, we use the exponential transform of the tilt angle of the horizontal gradient to improve the edge detection results. The robustness of the presented method is illustrated using synthetic data and real examples from the Voisey’s Bay Ni-Cu-Co deposit (Canada) and the Tuan Giao (Vietnam). The findings show that the presented technique can produce more precise and clear boundaries.

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“…Based on these latter and mathematical functions, Wijns et al (2005), Ferreira et al (2013 and Pham et al (2020) proposed some edge detection methods mainly based on the ratio of derivatives of the gradient of the amplitude; these methods are respectively the theta map, the tilt angle of the total horizontal gradient and the improved logistic filter. Since then, these advanced and new techniques are commonly exploited to produce quality results in structural geology and tectonics (Ekka et al, 2022;Eldosouky et al, 2022b;Ekwok et al, 2022;Ghomsi et al, 2022;Kafadar, 2022;Sahoo et al, 2022;Arogundade et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Structural mapping of the Goulfey-Tourba (West and Central African Rift) sedimentary basin using high-resolution gravity data

PaulGautier,

Oksum,

Lemotio

et al. 2023

Earth sci. res. j.

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The Goulfey-Tourba sedimentary basin (GTSB) is a portion of the West and Central African Rift System whose studies on its structural geology remain very limited. Belonging to the vast semi-arid Sahelian region, this sedimentary basin covers several localities in Cameroon and Chad, whose economic and social activities are highly impacted by the shortage of drinking water. In this work, a new look is taken at the geological features of this local sedimentary region. To perform this, a preliminary synthetic study is carried out to assess the performance of some classic and recent edge detection methods. The effectiveness of the recent Improved Logistic (IL) method is approved, given its ability to highlight low amplitude and deep features with a refined resolution. A regional/residual separation was applied to Bouguer gravity disturbances to avoid blurring some upper crustal structures by high-frequency anomalies. The effectiveness of this regional/residual separation has been validated by checking the absence of ringing artifacts (Gibbs phenomenon). The application of the IL method on residual gravimetric disturbances of the study area revealed a series of lineaments not yet identified by previous scientific studies. The results show a slight fracturing of the basement, with geological features mainly trending in an NW-SE direction. A newly identified geological discontinuity continuously crosses the study area from 12o45'N latitude to the southeast. Utilizing a modified and recent form of the Euler deconvolution theory (Improved Tilt-Euler method) has enabled the detection of several density sources in the GTSB, most of which correlate well with the lineaments outlined by the IL method. The improved Tilt-Euler method results show anomalous sources at more than 6 km depth beneath the Bodélé sedimentary series of the Upper Tertiary. The Euler’s linear solutions attributed to basement fractures show an average depth of 1 km. These results are undoubtedly a major contribution to refining the research of hydrogeological resources in this Sahelian area.

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Fractal analysis of lineaments using CryoSat-2 and Jason-1 satellite-derived gravity data: Evidence of a uniform tectonic activity over the middle part of the Central Indian Ridge

Cited by 18 publications

References 48 publications

Analysis of gravity data for extracting structural features of the northern region of the Central Indian Ridge

Analysis of gravity data for extracting structural features of the northern region of the Central Indian Ridge

Gravity Data Enhancement Using the Exponential Transform of the Tilt Angle of the Horizontal Gradient

Structural mapping of the Goulfey-Tourba (West and Central African Rift) sedimentary basin using high-resolution gravity data

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