Agbebia, M. A. and Egesi, N. (2020) Lineament Analysis and Inference of Geological Structures in Bansara-Boki Area, Southeastern Nigeria. Asian Journal of Environment & Ecology, 13 (1). pp. 28-44. ISSN 2456-690X
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Abstract
The purpose of this study is to extract lineaments from satellite images in order to contribute to the understanding of the structural geology of parts of Boki and its environs. Shuttle Radar Topographic Mission (SRTM) and Landsat 7 ETM images of path 187 and row 056 were used for the analysis which is processed for automated extraction, validated through ground-truthing of planar and linear geological features displaying altitude of about 233 for Bansara sheet 304. Lineament extraction processing was done using PCI Geomatica version 2016 for Landsat imagery and ArcGIS 10.5 used to generate Digital Elevation Model (DEM) and Slope Map for SRTM imagery. Statistically a total of 3191 count of highly dense lineament were generated ranging between 0.86 to 4.33 km in length with the mean of 1.22 and a standard deviation of 0.83 intersecting at low percentage of 3-6%. The DEM display a range of 1335 to -1335 m sloping in the range of 0-2.81 and 61.224-89.725 m for topographic analysis. The lineament extracted were trending majorly in NW/SE and other minor ones in NE/SW directions some which were agreement with the altitude of the ground-truth data. The variation is possibly as a result of influence from regional process such as deformation, metamorphism, magmatism and method of data acquisition and analysis. Lineament analysis are profound index parameters for engineering of dams, economic mineral and water resources exploration, exploitation, planning and development. It is also useful in geohazard studies and its mitigation as the areas are prone to rockfalls, rockslides, landslides, mudslides and flooding due to high rainfall and human activities at the foot of the highlands.
Item Type: | Article |
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Subjects: | Digital Open Archives > Geological Science |
Depositing User: | Unnamed user with email support@digiopenarchives.com |
Date Deposited: | 02 Mar 2023 08:53 |
Last Modified: | 23 May 2024 06:56 |
URI: | http://geographical.openuniversityarchive.com/id/eprint/493 |