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A GIS Approach Using Morphometric Data Analysis for the Identification of Subsurface Recent Tectonic Activity. Case Study in Quaternary Outcrops—North West of Tunisia

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Journal of Geographic Information System 2022年第1期14卷 94-112页

作者： slimene sedrette Noamen Rebai Geotechnical Engineering and Georisk Research Laboratory National School of Engineering of Tunis University of Tunis El Manar Tunis Tunisia

The combination of structural and lithological data with morphometric indicators in a GIS environment constitutes a methodological approach with high added value to identify neotectonic deformations, in particular in the Quaternary outcrops where faults are generally masked by thick recent sediments. This approach, based on the crossing of multisource data, is used in this work to understand the mechanisms that generate landscape forms in the Quaternary outcrop of Oued Lahmar, which belongs to the northwest of Tunisia. In fact, the databases of various morphometric indicators, extracted from the hydrographic network, have been generated using remote sensing data and open sources applications. This database has been enriched by lithological and tectonic data extracted from the regional geological map, to understand the results of the morphometric analysis. The results obtained provide valuable information on the identification of subsurface activity in Oued Lahmar and large vicinity areas with heterogeneous geomorphic and structural characteristics. Indeed, this study revealed the existence of an E-W subsurface tectonic control covered by the Quaternary sedimentary series not indicated on the geological map of the region. This tectonic direction, which follows most of the magmatic outcrop edge in the region, may allow the intrusion of magma and the rejuvenation of ancient deep faults.

关键词： Morphometry GIS Software Tools Crossing-Data Hydrographic Network Oued Lahmar Subsurface Neotectonic

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Validation Approach of the Tectonic Lineament Extraction Enhancement Using Sentinel 2A Images and Modified 3 ×3 Bidirectional Prewitt Filters. Case Study: Grombalia, Tunisia

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Journal of Geographic Information System 2021年第6期13卷 671-695页

作者： Mansouri Karim Noamen Rebai Sonya Gannouni slimene sedrette Imed Riadh Farah ENSI école Nationale des Sciences de l’Informatique Manouba Manouba Tunisia Geotechnical Engineering and Georisk Research Laboratory (LR14ES03) National School of Engineering of Tunis University of Tunis El Manar Tunis Tunisia Laboratoire de Géoressources CERTE Technopole de Borj Cedria Borj Cedria Tunisia

In this study, filters are used to extract directional tectonic lineaments and, thus, to reveal the presence of faults or fractures in the satellite images. The extraction process consists first in eliminating other different types of lineaments (e.g. the lithological limit, ridgelines, hydrographic network, roads, etc.). Besides, a comparative and quantitative approach is applied to show that when the directional Prewitt filter has a zero setting of the opposite of the assumed direction, as is the case of the N-S direction, the East-West direction is also set to zero. This research work, based on a bidirectional filter (N-S;E-W), shows satisfactory results especially concerning the quantitative fluctuation of lineament directions by interval. This fluctuation is in perfect agreement with the lineaments provided by the digitizing of the different tectonic accidents directions extracted in a GIS environment from the geological map of Grombalia. In this research work, a quantitative approach was used to evaluate the result of the lineament extraction methodology based on one direction analysis and by an interval of directions. Indeed, the N45 lineament direction, well documented in the geological study of the region, was more clearly distinguished by applying the Prewitt filter than by using the Sobel filter. The result was validated by comparison with the results obtained by the digitization of the tectonic accidents mapped on the geological map.

关键词： Lineament Tectonic Accidents Bi-Directional Filter Direction Frequency Grombalia Tunisia

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