2020
DOI: 10.11137/2020_4_319_329
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Automatic Extraction and Geospatial Analysis of Lineaments and their Tectonic Significance in South Cameroon Area using Remote Sensing Techniques and GIS

Abstract: This study investigates the dominant orientations of lineament features and the relationship between these trends and the spatial orientation of tectonic structures in the transition zone of the Congo craton and the Pan African belt in South Cameroon area. Landsat 8 OLI/TIRS and hill-shaded images, constructed from 30 m-resolution SRTM-DEM data, were used for automatically extracting and mapping geological lineaments. Lineament features were analyzed by means of azimuth frequency and length density distributio… Show more

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Cited by 5 publications
(5 citation statements)
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“…This approach, which consists of combining Shuttle Radar Topography Mission (SRTM) data and multispectrale images, has already been used in lineament mapping of many regions over the world with very good results. The results of two recently studies that have been achieved in Egypt by (Shandini et al 2020)and (Abdelkareem et al 2021) con rm the ability of SRTM data as an additional input to aid the spectral separability and to achieve the lineament mapping purposes. Therefore, the automatic extraction method applied on both Landsat 8 OLI and SRTM satellite data showed that these data can be used as a powerful tool to explore structural features and to further improve lineament mapping in several worldwide regions (Jawahar Raj and Prabhakaran 2018) (Aretouyap et al 2020).…”
Section: Introductionmentioning
confidence: 76%
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“…This approach, which consists of combining Shuttle Radar Topography Mission (SRTM) data and multispectrale images, has already been used in lineament mapping of many regions over the world with very good results. The results of two recently studies that have been achieved in Egypt by (Shandini et al 2020)and (Abdelkareem et al 2021) con rm the ability of SRTM data as an additional input to aid the spectral separability and to achieve the lineament mapping purposes. Therefore, the automatic extraction method applied on both Landsat 8 OLI and SRTM satellite data showed that these data can be used as a powerful tool to explore structural features and to further improve lineament mapping in several worldwide regions (Jawahar Raj and Prabhakaran 2018) (Aretouyap et al 2020).…”
Section: Introductionmentioning
confidence: 76%
“…SRTM was a mission of 11-day performed by single-pass satellite (SAR interferometry) during February 2000 (Okeke, Ukaegbu, and Egesi 2019).The Spaceborne Imaging Radar hardware, which provides high quality elevation values, formed the SRTM instrument (Han et al 2018). In several studies, radar remotely sensed SRTM data has proved to be extremely effective for many applications (Elmahdy, Mohamed, and Ali 2021) especially for highlighting geologic structures and fractures controlled by topography (Shandini et al 2020;Abdelkareem et al 2021). It affords a lot of advantages giving a great help in geological and geomorphological mapping which enables the interpretation of regional tectonic morphology (Han et al 2018).…”
Section: Radar Datamentioning
confidence: 99%
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“…Selain itu dilakukan juga analisa geospasial untuk mengetahui kondisi struktur makro dengan analisis FFD. Zona-zona lemah patahan dapat diketahui dengan melakukan perhitungan pola kerapatan garis lineasi dari data citra satelit [10]. Dengan memakai metode FFD, bisa diketahui kelurusan-kelurusan yang berkaitan dengan struktur pada daerah penelitian atau dengan melihat refleksi topografi seperti kelurusan sungai, kelurusan lembah, struktur sesar maupun rekahan.…”
Section: Latar Belakangunclassified