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Detecting Recent Deformation Patterns Using Geomorphometric Indices and Remote Sensing: A Case Study from the Sahel of Sfax (Eastern Tunisia)

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Advances in Remote Sensing and Geo Informatics Applications (CAJG 2018)

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Abstract

Geomorphometric indices such as Amplitude Relief (Ar), Stream length gradient (SL), Drainage density (Dd), Stream frequency (Fu), Slope gradient (S), Aspect and Topographic Wetness Index (TWI) calculated from SRTM-DEM with hydrographic network analysis and density of lineaments (Ld) automatically extracted from Landsat ETM+ satellite image were used to extract lineaments maps of the Sahel of Sfax (eastern Tunisia). The synthesis of these lineaments allowed the establishment of morpho-structural map and understanding the structural evolution of the area. The produced lineament map was then confronted to gravimetric maps and to the previous studies carried out on this area using geophysical data. This map is in high agreement with all these works.

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Correspondence to Mourad El Koundi .

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El Koundi, M., Mansour, R., El Ghali, A. (2019). Detecting Recent Deformation Patterns Using Geomorphometric Indices and Remote Sensing: A Case Study from the Sahel of Sfax (Eastern Tunisia). In: El-Askary, H., Lee, S., Heggy, E., Pradhan, B. (eds) Advances in Remote Sensing and Geo Informatics Applications. CAJG 2018. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-01440-7_63

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