APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMEN
Remote sensing technology plays an important role today in the geological survey, mapping, analysis and interpretation, which provides a unique opportunity to investigate the geological characteristics of the remote areas of the earth's surface without the need to gain access to an area on the...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-11-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W4/63/2017/isprs-annals-IV-4-W4-63-2017.pdf |
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| author | F. Al-Nahmi O. Saddiqi A. Hilali H. Rhinane L. Baidder H. El arabi K. Khanbari |
| author_facet | F. Al-Nahmi O. Saddiqi A. Hilali H. Rhinane L. Baidder H. El arabi K. Khanbari |
| author_sort | F. Al-Nahmi |
| collection | DOAJ |
| description | Remote sensing technology plays an important role today in the geological survey, mapping, analysis and interpretation, which provides a unique opportunity to investigate the geological characteristics of the remote areas of the earth's surface without the need to gain access to an area on the ground. The aim of this study is achievement a geological map of the study area. The data utilizes is Sentinel-2 imagery, the processes used in this study, the OIF Optimum Index Factor is a statistic value that can be used to select the optimum combination of three bands in a satellite image. It’s based on the total variance within bands and correlation coefficient between bands, ICA Independent component analysis (3, 4, 6) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals, MNF Minimum Noise Fraction (1, 2, 3) is used to determine the inherent dimensionality of image data to segregate noise in the data and to reduce the computational requirements for subsequent processing, Optimum Index Factor is a good method for choosing the best band for lithological mapping. ICA, MNF, also a practical way to extract the structural geology maps. The results in this paper indicate that, the studied area can be divided into four main geological units: Basement rocks (Meta volcanic, Meta sediments), Sedimentary rocks, Intrusive rocks, volcanic rocks. The method used in this study offers great potential for lithological mapping, by using Sentinel-2 imagery, the results were compared with existing geologic maps and were superior and could be used to update the existing maps. |
| first_indexed | 2024-04-13T06:46:48Z |
| format | Article |
| id | doaj.art-a217e8fdedf94e92bf77aa54b4723a8d |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-04-13T06:46:48Z |
| publishDate | 2017-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-a217e8fdedf94e92bf77aa54b4723a8d2022-12-22T02:57:34ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502017-11-01IV-4-W4637110.5194/isprs-annals-IV-4-W4-63-2017APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMENF. Al-Nahmi0O. Saddiqi1A. Hilali2H. Rhinane3L. Baidder4H. El arabi5K. Khanbari6Laboratory Geosciences, Department of Geology, Faculty of Sciences, Hassan II University Casablanca, MoroccoLaboratory Geosciences, Department of Geology, Faculty of Sciences, Hassan II University Casablanca, MoroccoLaboratory Geosciences, Department of Geology, Faculty of Sciences, Hassan II University Casablanca, MoroccoLaboratory Geosciences, Department of Geology, Faculty of Sciences, Hassan II University Casablanca, MoroccoLaboratory Geosciences, Department of Geology, Faculty of Sciences, Hassan II University Casablanca, MoroccoLaboratory Geosciences, Department of Geology, Faculty of Sciences, Hassan II University Casablanca, MoroccoYemen Remote Sensing and GIS Centre, Sana’a University, YemenRemote sensing technology plays an important role today in the geological survey, mapping, analysis and interpretation, which provides a unique opportunity to investigate the geological characteristics of the remote areas of the earth's surface without the need to gain access to an area on the ground. The aim of this study is achievement a geological map of the study area. The data utilizes is Sentinel-2 imagery, the processes used in this study, the OIF Optimum Index Factor is a statistic value that can be used to select the optimum combination of three bands in a satellite image. It’s based on the total variance within bands and correlation coefficient between bands, ICA Independent component analysis (3, 4, 6) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals, MNF Minimum Noise Fraction (1, 2, 3) is used to determine the inherent dimensionality of image data to segregate noise in the data and to reduce the computational requirements for subsequent processing, Optimum Index Factor is a good method for choosing the best band for lithological mapping. ICA, MNF, also a practical way to extract the structural geology maps. The results in this paper indicate that, the studied area can be divided into four main geological units: Basement rocks (Meta volcanic, Meta sediments), Sedimentary rocks, Intrusive rocks, volcanic rocks. The method used in this study offers great potential for lithological mapping, by using Sentinel-2 imagery, the results were compared with existing geologic maps and were superior and could be used to update the existing maps.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W4/63/2017/isprs-annals-IV-4-W4-63-2017.pdf |
| spellingShingle | F. Al-Nahmi O. Saddiqi A. Hilali H. Rhinane L. Baidder H. El arabi K. Khanbari APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMEN ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMEN |
| title_full | APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMEN |
| title_fullStr | APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMEN |
| title_full_unstemmed | APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMEN |
| title_short | APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMEN |
| title_sort | application of remote sensing in geological mapping case study al maghrabah area hajjah region yemen |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W4/63/2017/isprs-annals-IV-4-W4-63-2017.pdf |
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