Paper Title

Lineament Extraction In Olkaria Geothermal Field Using Sentinel-1A Imagery (Kenya)

Article Identifiers

Registration ID: IJNRD_204878

Published ID: IJNRD2309059

DOI: Click Here to Get

Authors

Esther Waithera Githinji , Prof. John Gitonga Githiri , Dr. Mercy Mwaniki

Keywords

Sentinel-1, Gray level, Lineaments

Abstract

Subsurface processes are displayed as observable ground deformations. Their identification and monitoring provide insight about Earth’s dynamics and processes triggering these conditions. This paper aims to show the application of remote sensing technique in obtaining preliminary information about the subsurface through extraction of geological lineaments in the middle fault zone of the Olkaria geothermal field. The Olkaria West Field (OWF) and East fields are separated by a low-temperature zone; waters from the west field fracture have lower enthalpy. Further, the wells on either side show different reservoir fluid characteristics. In this study, Sentinel-1 Synthetic Aperture Radar (SAR) imagery was used. Image analysis techniques used were Gray Level Co-occurrence Matrix (GLCM) for texture analysis and Line module algorithms for edge detection to obtain the tectonic lineaments. The rose diagrams were used to display the lineaments' orientation. The main trends observed in the lineament map for the zone between East and West fields could be recognized as showing a major trend in S-N, this orientation might be correlated with the fractured volcanic system of Olkaria Geothermal field. Detection of geologic lineaments using free Sentiel-1 data presents a great advantage for future geological surveys.

How To Cite (APA)

Esther Waithera Githinji, Prof. John Gitonga Githiri, & Dr. Mercy Mwaniki (September-2023). Lineament Extraction In Olkaria Geothermal Field Using Sentinel-1A Imagery (Kenya). INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), a467-a478. https://ijnrd.org/papers/IJNRD2309059.pdf

Issue

Volume 8 Issue 9, September-2023

Pages : a467-a478

Other Publication Details

Paper Reg. ID: IJNRD_204878

Published Paper Id: IJNRD2309059

Downloads: 000121984

Research Area: Science

Country: Nairobi, Nyeri, Kenya

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309059.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309059

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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