Using of lineament analysis of satellite images for ore objects forecasting within the east African rift
In the work, on the example of the part of the East African Rift territory, the forecast of ore objects on the basis of lineament analysis of Landsat 8 and SRTM satellite images is executed. It is identified that more quality prognoses can be achieve by studying not lineaments itself, but their defo...
Збережено в:
| Дата: | 2016 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
2016
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| Теми: | |
| Онлайн доступ: | https://ujrs.org.ua/ujrs/article/view/76 |
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| Назва журналу: | Ukrainian Journal of Remote Sensing of the Earth |
Репозитарії
Ukrainian Journal of Remote Sensing of the Earth| Резюме: | In the work, on the example of the part of the East African Rift territory, the forecast of ore objects on the basis of lineament analysis of Landsat 8 and SRTM satellite images is executed. It is identified that more quality prognoses can be achieve by studying not lineaments itself, but their deformations — gaps, intense bends, turns of the directions relatively 0, 45, 90, 135 degrees azimuths, which are typical for all terrestrial surface. It is shown that maps reflecting spatial concentration of lineaments deformations can successfully be used for geological forecasting using Data mining methods. |
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