Szczegóły publikacji
Opis bibliograficzny
Remote sensing based geological mapping and mineral exploration of the area of North Waziristan Pakistan / Adil Nawaz, Janusz MAGIERA // W: Life with Ore Deposits on Earth [Dokument elektroniczny] : 15th Biennial SGA Meeting, Glasgow, Scotland, August 27-30 2019 : proceedings. Vol. 3, Magmatic-hydrothermal systems: from Porphyry to Epithermal ; New discoveries - new views - Advances in the science of mineral exploration ; New Techniques for ore discovery / University of Glasgow Publicity Services. — Wersja do Windows. — Dane tekstowe. — [Glasgow] : Society for Geology Applied to Mineral Deposits, cop. 2019. — e-ISBN: 978-0-85261-964-3. — S. 1378–1381. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://www.dropbox.com/s/dk6g7n1s6m0cl42/eVolume%203.pdf?dl=0 [2019-09-12]. — Bibliogr. s. 1381, Abstr. — J. Magiera - afiliacja: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 124090 |
|---|---|
| Data dodania do BaDAP | 2019-09-20 |
| Rok publikacji | 2019 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 15th Biennial SGA Meeting Life with Ore Deposits on Earth |
Abstract
In mineral exploration, remote sensing tools are important and cost effective. Minerals occur in a variety of genetic associations but commercial deposits of minerals are limited in genetic types and modes of occurrences which forms the basis of modern concept based prospecting and is also responsible for the significant role of remote sensing in exploration. Remote sensing data can help to differentiate melogenic provinces/belts/sides and mineral guides in a larger terrain. Keeping In view the importance of RS Tools, digitally enhanced OLI Landsat 8 images are applied to find alteration zones and for geological mapping of North Waziristan Pakistan. The territory is rough with sparse vegetation; the exposure of the Waziristan ophiolite, related sedimentary-igneous lithologies and inaccessibility to the area made the utilization of Landsat information helpful in this investigation. Spectral signatures recorded by Landsat 8 data were used to differentiate different rock units and alteration zones. RS tool i.e. band ratios, band combinations, principal component analysis and image classification are helpful in this regard; multispectral images were prepared and investigated for this study. Final detection of the lithology and alteration zones is based on correlation between classes generated in the thematic map and the referenced geological map. On the basis of the image classification techniques; unsupervised classification, band ratios, five principles lithological units and alteration zones with highest percentage of clay and iron ratios are identified which are giving satisfactory results with overall accuracy 63.07 % in comparison with referenced geological map using confusion matrix analysis. The results are subject to discussion and need to examine about the utility and confinements of remote sensing strategy on the investigation zone.
