Determination of iron minerals with landsat ETM+, Kırşehir, Turkey
Yazarlar (2)
Doç. Dr. Zeynel BAŞIBÜYÜK Kırşehir Ahi Evran Üniversitesi, Türkiye
Öğr. Gör. Engin EKDUR Kırşehir Ahi Evran Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Gospodarka Surowcami Mineralnymi Mineral Resources Management (Q4) | ||
| Dergi ISSN | 0860-0953 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2018 |
| Cilt / Sayı / Sayfa | 34 / 3 / 23–36 | DOI | 10.24425/122579 |
| Makale Linki | http://dx.doi.org/10.24425/122579 | ||
| Özet |
| Introduction study area is located in the Central Anatolia, Turkey which is 30 km long and 16 km wide. The latitudinal and longitudinal extent of the study area is 39 25′ 42.89 ″N to 39 15’54.16 ″N and 33 19′ 29.38 ″E to 33 44′ 13.79 ″E, respectively. Iron-rich or gossan zones are located in the upper Cretaceous-aged Central Anatolian Ophiolites and Central Anatolian granitoids in the region. An iron mine quarry is already being operated in the western part of the study area. This iron-rich and gossan region was used as a reference area in this study. Image processing techniques have been used as the cheapest and fastest method for the interpretation of exploration purposes of large areas. Image processing techniques (band rationing, color composite, PCA) have been commonly used by many researchers to identify iron zones (Tangestani and Moore 2000; Aydal et al. 2007; Madani 2009; Alasta 2011; Ciampalini et al. 2013; Feizi and Mansouri 2013). Iron and gossan content maps were designed using image processing techniques in this study. It is not completely possible to detect operable iron mine deposits through remote sensing methods. The confirmation of iron-rich regions in the maps through field observations indicates that this method can be used as an efficient tool to detect unexplored iron mine deposits in large areas. |
| Anahtar Kelimeler |
| Goethite | Hematite | Image processing | Mineral mapping | Remote sensing |
| Atıf Sayıları | |
| Google Scholar | 4 |
| Scopus | 2 |