Mapping of Hydrothermal Minerals Related to Geothermal Activities Using Remote Sensing and GIS: Case Study of Paka Volcano in Kenyan Rift Valley
| Autor: | Aaron K. Waswa, Joline Achieng, Joseph Mutua, Geoffrey Mibei, Lydia A. Olaka |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
geography
geography.geographical_feature_category 010504 meteorology & atmospheric sciences Lineament business.industry Geomatics 010502 geochemistry & geophysics 01 natural sciences Hydrothermal circulation Volcano Remote sensing (archaeology) Prospecting business Geothermal gradient Rift valley Geology 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | International Journal of Geosciences. :711-725 |
| ISSN: | 2156-8367 2156-8359 |
| DOI: | 10.4236/ijg.2017.85039 |
| Popis: | Remote sensing investigations combined with Geographical investigation systems (GIS) provide a rapid and cost-effective method for prospecting hydrothermal and geothermal systems. Most geothermal systems in Kenya are found in remote areas where accessibility is difficult. This study was carried out on Paka volcano which is located in the Kenyan rift valley. The aim of the study was to use remote sensing and GIS to investigate hydrothermal minerals and structures associated with geothermal activities. The study involves use of Landsat TM image classification using ENVI 5.1 and ArcGIS. Lineament extraction was done using PCI geomatics 2015 while Rose diagrams were generated using Rockworks 16. The research has shown that lithological, hydrothermal mineralization and structural maps can be generated form Landsat TM images using remote sensing and GIS. It has been shown that faults trend in the Northeast, North and Northwest direction. Hydrothermal minerals that are rich in iron and clays occur on Paka volcano mountain and its neighbouring areas. |
| Databáze: | OpenAIRE |
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