The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, Indonesia
The remote sensing analysis within the Hu'u District area is known to face a challenge with dense vegetation. The problem affects the accurate reading of spectral reflectance from satellites, influencing the differentiation between potential mineral zones and vegetation. Therefore, this study a...
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, The Geophysical Center
2024-12-01
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| Series: | Russian Journal of Earth Sciences |
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| Online Access: | http://doi.org/10.2205/2024ES000921 |
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| author | Said Umar Abdulrahim Bantan Rashad A. Mannaa Ammar A. Taufiq Yasser |
| author_facet | Said Umar Abdulrahim Bantan Rashad A. Mannaa Ammar A. Taufiq Yasser |
| author_sort | Said Umar Abdulrahim |
| collection | DOAJ |
| description | The remote sensing analysis within the Hu'u District area is known to face a challenge with dense vegetation. The problem affects the accurate reading of spectral reflectance from satellites, influencing the differentiation between potential mineral zones and vegetation. Therefore, this study aims to carry out a remote sensing analysis of densely vegetated areas to differentiate minerals from vegetation and obtain potential mineral zones. The combination band ratios and principal component analysis (PCA) methods are used to acquire potential mineral zones. Furthermore, Landsat 8 images freely available on Google Earth Engine are adopted and the validation is carried out using a drill hole from previous study. The results show that band ratios method cannot distinguish mineral zones from vegetation. However, PCA method can recognize potential mineral zones. This is the result from PCA method with band combination of bands 1, 2, 3, 4, 5, and 6 as the first group and band 2, 4, 5, and 6 as the second group. |
| format | Article |
| id | doaj-art-4dd8b60003ac43a0a9b33a5ea00beefb |
| institution | DOAJ |
| issn | 1681-1208 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Russian Academy of Sciences, The Geophysical Center |
| record_format | Article |
| series | Russian Journal of Earth Sciences |
| spelling | doaj-art-4dd8b60003ac43a0a9b33a5ea00beefb2025-08-20T02:46:05ZengRussian Academy of Sciences, The Geophysical CenterRussian Journal of Earth Sciences1681-12082024-12-0124511010.2205/2024ES000921The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, IndonesiaSaid Umar Abdulrahim0https://orcid.org/0009-0000-1440-0740Bantan Rashad A.1https://orcid.org/0000-0002-0226-0418Mannaa Ammar A.2https://orcid.org/0000-0002-1857-4171Taufiq Yasser3Department of Marine Geology, Faculty of Marine Sciences, King AbdulAziz UniversityDepartment of Marine Geology, Faculty of Marine Sciences, King AbdulAziz UniversityDepartment of Marine Geology, Faculty of Marine Sciences, King AbdulAziz UniversityPT. Sumbawa Timur MiningThe remote sensing analysis within the Hu'u District area is known to face a challenge with dense vegetation. The problem affects the accurate reading of spectral reflectance from satellites, influencing the differentiation between potential mineral zones and vegetation. Therefore, this study aims to carry out a remote sensing analysis of densely vegetated areas to differentiate minerals from vegetation and obtain potential mineral zones. The combination band ratios and principal component analysis (PCA) methods are used to acquire potential mineral zones. Furthermore, Landsat 8 images freely available on Google Earth Engine are adopted and the validation is carried out using a drill hole from previous study. The results show that band ratios method cannot distinguish mineral zones from vegetation. However, PCA method can recognize potential mineral zones. This is the result from PCA method with band combination of bands 1, 2, 3, 4, 5, and 6 as the first group and band 2, 4, 5, and 6 as the second group.http://doi.org/10.2205/2024ES000921Landsat 8 Band Ratio Principal Component Analysis Mineral Densely Vegetated Areas |
| spellingShingle | Said Umar Abdulrahim Bantan Rashad A. Mannaa Ammar A. Taufiq Yasser The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, Indonesia Russian Journal of Earth Sciences Landsat 8 Band Ratio Principal Component Analysis Mineral Densely Vegetated Areas |
| title | The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, Indonesia |
| title_full | The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, Indonesia |
| title_fullStr | The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, Indonesia |
| title_full_unstemmed | The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, Indonesia |
| title_short | The Use of Landsat 8 in Detecting Potential Mineral Zones in West Nusa Tenggara, Indonesia |
| title_sort | use of landsat 8 in detecting potential mineral zones in west nusa tenggara indonesia |
| topic | Landsat 8 Band Ratio Principal Component Analysis Mineral Densely Vegetated Areas |
| url | http://doi.org/10.2205/2024ES000921 |
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