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ŞAPHANE (ÇORUM) DAMAR TİPİ ALTIN CEVHERLEŞMESİNDE MULTİSPEKTRAL UYDU GÖRÜNTÜLERİ KULLANILARAK HİDROTERMAL ALTERASYON MİNERAL HARİTALAMASI VE ÇİZGİSELLİK ANALİZİ

Yıl 2022, , 313 - 328, 03.09.2022

Oktay Canbaz , Esra Ünal Çakır

https://doi.org/10.17780/ksujes.1112817

Öz

Uzaktan algılama teknikleri litolojik özelliklerin ve minerallerin haritalanmasında, yapısal özelliklerin ortaya çıkarılmasında oldukça kullanışlı veriler sunmaktadır. Özellikle metalik madenlerin ilk arama aşamalarından bir tanesi olan hidrotermal alterasyon minerallerinin dağılımlarının daha az maliyetle ve kısa sürede haritalanması oldukça önemli sonuçlar ortaya çıkarmaktadır. Çalışma alanında, Eosen volkanizmasına ait ürünler ile hidrotermal çözelti faaliyetlerinin neden olduğu alterasyonlar yoğun olarak gözlenmektedir. Bu yoğun alterasyonlar, yaklaşık KD-GB doğrultulu altın içeren hidrotermal damarlarla ilişkilendirilmektedirler. Altın potansiyeli yüksek olan bu saha sarp topografya ve ulaşılması güç yüzleklere sahiptir. Bölgede arazi çalışmaları güçlükle gerçekleştirilmekte olup çalışmalar sırasında birçok alan gözden kaçabilmektedir. Bu çalışma, ASTER uydu verisinde bitki örtüsü maskeleme (NDVI), bant oranlama gibi görüntü zenginleştirme teknikleri ile spektral sınıflandırma yöntemi uygulanarak hidrotermal alterasyon minerallerinin haritalanmasına yönelik gerçekleştirilmiştir. Ayrıca, damar tipi cevherleşmelerin tespitine yönelik ise Landsat-8 OLI uydu verisinden elde edilen 15 m çözünürlüğe sahip görüntüde otomatik çizgisellik analizi uygulanmıştır. Elde edilen sonuçlar, 84,8 genel doğruluk ve 0,836 kappa katsayısına sahip olup arazi verileri ile yüksek oranda doğruluk göstermektedir. Çalışmada elde edilen haritaların bölgedeki yeni altın ve/veya diğer değerli metalik cevherleşmeler için kullanışlı ve öncü veriler sunacağı düşünülmektedir.

Anahtar Kelimeler

Uzaktan Algılama Altın Hidrotermal Alterasyon Spektral Sınıflandırma

Kaynakça

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HYDROTHERMAL ALTERATION MINERAL MAPPING AND LINEAMENT ANALYSIS USING MULTISPECTRAL SATELLITE IMAGES IN VEIN TYPE GOLD MINERALIZATION IN ŞAPHANE (ÇORUM)

Yıl 2022, , 313 - 328, 03.09.2022

Oktay Canbaz , Esra Ünal Çakır

https://doi.org/10.17780/ksujes.1112817

Öz

Remote sensing techniques provide very useful data for mapping lithological features and minerals, and also revealing structural features. In particular, mapping the distributions of hydrothermal alteration minerals, which is one of the first exploration stages of metallic ore deposits, with less cost and in a short time reveals very important results. In the study area, Eocene volcanic rocks and alterations caused by hydrothermal fluids activities are intensely observed. These intense alterations are associated with gold-bearing hydrothermal veins in approximately NE-SW direction. This area, which has a high gold potential, has a steep topography and is difficult to access. Field studies in the region are carried out with difficulty and many areas can be overlooked during the studies. The mapping of distribution of hydrothermal alteration minerals was carried out by applying the spectral classification method with image enhancement techniques such as vegetation masking (NDVI), and band ratio in ASTER data in this study. In addition, automatic lineament analysis was applied to the 15 m resolution image obtained from the Landsat-8 OLI data for the detection of vein-type mineralizations. The results obtained have an overall accuracy of 84.8 and a kappa coefficient of 0.836, showing high accuracy with field data.It is suggested that the maps obtained in the study will provide useful and advanced data for new gold and/or other precious metallic mineralizations in the region.

Anahtar Kelimeler

Remote Sensing Gold Hydrothermal Alteration Spectral Classification

Kaynakça

  • Abrams MJ, Brown D, Lepley L, Sadowski R (1983) Remote sensing for porphyry copper deposits in southern Arizona. Econ Geol 78:591–604. https://doi.org/10.2113/gsecongeo.78.4.591
  • Abubakar AJ, Hashim M, Pour AB (2018) Identification of hydrothermal alteration minerals associated with geothermal system using ASTER and Hyperion satellite data: a case study from Yankari Park, NE Nigeria. Geocarto Int.
  • Adiri Z, El Harti A, Jellouli A, et al (2020) Mapping copper mineralization using EO-1 Hyperion data fusion with Landsat 8 OLI and Sentinel-2A in Moroccan Anti-Atlas. Geocarto Int. https://doi.org/10.1080/10106049.2018.1544287
  • Agar B, Coulter D (2007) Remote sensing for mineral exploration – a decade perspective 1997–2007. Içinde: Proceedings of Exploration 07: Fifth Decennial International Conference on Mineral Exploration. ss 109–136
  • Akçay AE, Dönmez M, Kara H, et al (2008) 1/100.000 Ölçekli Türkiye jeoloji haritaları, Kırşehir İ-34 paftası, No: 81. Maden Tetkik ve Arama Genel Müdürlügü, Ankara
  • Alimohammadi M, Alirezaei S, Kontak DJ (2015) Application of ASTER data for exploration of porphyry copper deposits: A case study of Daraloo-Sarmeshk area, southern part of the Kerman copper belt, Iran. Ore Geol Rev. https://doi.org/10.1016/j.oregeorev.2015.04.010
  • Alpaslan M (2000) Pazarcık Volkanitinin (Yıldızeli - Sivas) Mineralojik Petrografik ve Jeokimyasal Özellikleri. Türkiye Jeol Bülteni 43:49–60
  • Alpaslan M, Terzioğlu N (1998) Pontidlerde çarpışma sonrası volkanizmaya bir örnek: Sürmeli Volkaniti (Taşova-Amasya). Cumhur Üniversitesi Yerbilim Derg 15:13–20
  • Baran HA (2021) Hakkâri ili baz metal yataklarının uzaktan algılama ile belirlenmesi. Gümüşhane Fen Bilim Enstitüsü Derg 11:339–347
  • Bozkaya G, Gökce A, Efe A (1996) Gümüşhacıköy (Amasya) Pb-Zn-Ag yataklarının jeolojisi. Cumhur Üniversitesi Yerbilim Derg 73–89
  • Büyükonal G (1985) Yozgat Yöresi Volkanitlerinin Asal ve İz Elementlerinin Dağılım. Maden Tetk Aram Derg 105:97–111
  • Canbaz O, Gürsoy Ö, Gökce A (2020a) Kaolin Dağılımının Spektral Sınıflama Yöntemleri ile Belirlenmesi: Geminbeli Kaolin Yatağı (Sivas) ve Çevresi. Gümüşhane Fen Bilim Enstitüsü Derg 10:1085–1094
  • Canbaz O, Gökce A, Ekici T, Yılmaz H (2020b) Geochemical characteristics of the Eocene Karataş volcanics (Northeast Sivas, Turkey) in the İzmir-Ankara-Erzincan Suture Zone. Bull Miner Res Explor 162:55–74
  • Canbaz O, Gürsoy Ö, Gökce A (2018) Detecting Clay Minerals in Hydrothermal Alteration Areas with Integration of ASTER Image and Spectral Data in Kösedag-Zara (Sivas), Turkey. J Geol Soc India. https://doi.org/10.1007/s12594-018-0882-1
  • Canbaz O, Gürsoy Ö, Gökçe A (2017) Determination of Hydrothermal Alteration Areas by Aster Satellite Images: Ağmaşat Plato- Zara (Sivas) / Turkey Sample. Cumhur Sci J 38:419–426 Chen JY, Reed IS (1987) A Detection Algorithm for Optical Targets in Clutter. Içinde: IEEE Transactions on Aerospace and Electronic Systems
  • Çörtük RM, Çelik ÖF, Alkan A, et al (2020) Distribution of rocks in Pınarbaşı Ophiolite from central Anatolia (Turkey) based on analysis of ASTER and Landsat-8 data. Geol J. https://doi.org/10.1002/gj.3844
  • Cudahy TJ, Hewson R, Huntington JF, et al (2001) The performance of the satellite-borne hyperion hyperspectral VNIR-SWIR imaging system for mineral mapping at Mount Fitton, South Australia. Içinde: International Geoscience and Remote Sensing Symposium (IGARSS)
  • Demiryürek E (2006) Soğucak (İskilip-Çorum) Cu-Pb-Zn Cevherleşmeleri ve Kökeni (Yüksek Lisans Tezi), 1-97, İstanbul Üniversitesi, İstanbul.
  • Di Tommaso I, Rubinstein N (2007) Hydrothermal alteration mapping using ASTER data in the Infiernillo porphyry deposit, Argentina. Ore Geol Rev. https://doi.org/10.1016/j.oregeorev.2006.05.004
  • El-Wahed MA, Zoheir B, Pour AB, Kamh S (2021) Shear-related gold ores in the wadi hodein shear belt, south eastern desert of egypt: Analysis of remote sensing, field and structural data. Minerals. https://doi.org/10.3390/min11050474
  • Eslami A, Ghaderi M, Rajedran S, et al (2016) Integration of ASTER and Landsat TM Remote Sensing Data for Chromite Prospecting and Lithological Mapping in Neyriz Ophiolite Zone, South Iran. Resource Geology (2015) 65, 375-388. DOI: 10.1111/rge.12076. Resour. Geol.
  • Gad S, Kusky T (2007) ASTER Spectral Ratioing for Lithological Mapping in the Arabian-Nubian Shield, the Neoproterozoic Wadi Kid Area, Sinai, Egypt. Gondwana Res. https://doi.org/10.1016/j.gr.2006.02.010
  • Göçmengil G, Karacik Z, Genç C, Billor MZ (2018) 40Ar-39Ar geochronology and petrogenesis of postcollisional trachytic volcanism along the İzmir-Ankara-Erzincan Suture Zone (NE, Turkey). Turkish J Earth Sci 27:1–31. https://doi.org/10.3906/yer-1708-4
  • Gökce A, Bozkaya G (1998) Gümüşhacıköy (Amasya) Pb-Zn yatakları çevresinde derekumu örnekleri jeokimyası incelemeleri. Geosound 33:75–90
  • Görür N, Şengör AMC (1986) İç Anadolu Havzalarının Jeolojisi, Tübitak, Türkiye Birinci Jeotravers Projesi, 1. Workshop, Gebze.
  • Honarmand M, Ranjbar H, Shahabpour J (2013) Combined use of ASTER and ALI data for hydrothermal alteration mapping in the northwestern part of the Kerman magmatic arc, Iran. Int J Remote Sens. https://doi.org/10.1080/01431161.2012.731540
  • Hosseinjani Zadeh M, Tangestani MH, Roldan FV, Yusta I (2014) Sub-pixel mineral mapping of a porphyry copper belt using EO-1 Hyperion data. Adv Sp Res. https://doi.org/10.1016/j.asr.2013.11.029
  • Hung LQ, Batelaan O, De Smedt F (2005) Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery. Case study: Suoimuoi tropical karst catchment, Vietnam. Içinde: Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V
  • Karaman M (2021) Grafit Cevherleşmelerinin Sentinel-2 Uydu Görüntülerinden Belirlenmesinde En Uygun Bant Kombinasyonları. Avrupa Bilim ve Teknol Derg 25:749–757
  • Kavak KS (2005) Determination of palaeotectonic and neotectonic features around the Menderes Massif and the Gediz Graben (Western Turkey) using Landsat TM image. Int J Remote Sens. https://doi.org/10.1080/01431160410001709994
  • Keskin M, Genç ŞC, Tüysüz O (2008) Petrology and geochemistry of post-collisional Middle Eocene volcanic units in North-Central Turkey: Evidence for magma generation by slab breakoff following the closure of the Northern Neotethys Ocean. Lithos 104:267–305. https://doi.org/10.1016/j.lithos.2007.12.011
  • Koçbulut F, Yılmaz Şahin S, Tatar O (2001) Akdağmadeni (Yozgat)- Yıldızeli (Sivas) Arasındaki Kaletepe Volkanitinin Mineralojik-Petrografik ve Jeokimyasal İncelenmesi. İstanbul Üniversitesi Yerbilim Derg 14:77–91
  • Kruse FA, Boardman JW, Huntington JF (2003) Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping. IEEE Trans Geosci Remote Sens. https://doi.org/10.1109/TGRS.2003.812908
  • Kulaman Ç (2022) Şaphane (Oğuzlar-Çorum) Au Cevherleşmesinde Sıvı Kapanım İncelemeleri. Yozgat Bozok Üniversitesi Fen Bilim Enstitüsü Yüksek Lisans Tezii
  • Kuşcu E, Genç Y (1999) Başnayayla (Yozgat) Molibden-Bakır Cevherleşmesi. Türkiye Jeol Bülteni 42:115–134
  • Kuşcu E, Urkan V, Çelik Y (2017) Şaphane (Eskiköy)-Çiğdemlik (Oğuzlar-Çorum) Ruhsatının Maden jeolojisi. Doğal Kaynaklar ve Ekon Bülteni 24:21–26
  • Maurer T (2013) HOW TO PAN-SHARPEN IMAGES USING THE GRAM-SCHMIDT PAN-SHARPEN METHOD – A RECIPE. Int Arch Photogramm Remote Sens Spat Inf Sci. https://doi.org/10.5194/isprsarchives-xl-1-w1-239-2013
  • Mitchell JJ, Glenn NF (2009) Subpixel abundance estimates in mixture-tuned matched filtering classifications of leafy spurge (Euphorbia esula L.). Int J Remote Sens. https://doi.org/10.1080/01431160902810620
  • Mundt JT, Streutker DR, Glenn NF (2007) Partial unmixing of hyperspectral imagery: Theory and methods. Am Soc Photogramm Remote Sens - ASPRS Annu Conf 2007 Identifying Geospatial Solut
  • Ninomiya Y (2003) A Stabilized Vegetation Index and Several Mineralogic Indices Defined for ASTER VNIR and SWIR Data. Içinde: International Geoscience and Remote Sensing Symposium (IGARSS)
  • Okada K, Ishii M (1993) ASTER spectral ratioing for lithological mapping in the Arabian–Nubian shield, the Neoproterozoic Wadi Kid area, Sinai, Egypt. Içinde: International Geosciences and Remote Sensing Symposium “Better Understanding of Earth Environment”. s Vol. 93, 126-128
  • Özkan M, Çelik ÖF, Özyavaş A (2018) Lithological discrimination of accretionary complex (Sivas, northern Turkey) using novel hybrid color composites and field data. J African Earth Sci. https://doi.org/10.1016/j.jafrearsci.2017.11.009
  • Pour AB, Hashim M (2012) The application of ASTER remote sensing data to porphyry copper and epithermal gold deposits. Ore Geol. Rev.
  • Pour AB, Hashim M (2011) Identification of hydrothermal alteration minerals for exploring of porphyry copper deposit using ASTER data, SE Iran. J Asian Earth Sci. https://doi.org/10.1016/j.jseaes.2011.07.017
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  • Rajendran S, Nasir S (2019) Mapping of hydrothermal alteration in the upper mantle-lower crust transition zone of the Tayin Massif, Sultanate of Oman using remote sensing technique. J African Earth Sci. https://doi.org/10.1016/j.jafrearsci.2018.10.001
  • Sevin M, Uğuz MF (2013) 1/100.000 Ölçekli Açınsama Nitelikli Türkiye Jeoloji Haritaları Serisi, Çorum G-33 Paftası, No:183 Maden Tetkik Arama, Ankara
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  • Yalçın C (2018) Gökçedoğan (Kargı-Çorum) Cu Zn Cevherleşmesinin Jeolojisi ve Oluşumu (Doktora Tezi), 1-301, İstanbul Üniversitesi, İstanbul
  • Yalçın C, Hanilçi N, Kumral M, Kaya M (2022) Formation And Tectonic Evolution Of Structural Slices In Eastern Kargi Massif (Çorum,Turkey). Bull Miner Res Explor (Early view)
  • Yang M, Ren G, Han L, et al (2018) Detection of Pb – Zn mineralization zones in west Kunlun using Landsat 8 and ASTER remote sensing data. J Appl Remote Sens 12 (2): https://doi.org/10.1117/1.JRS.12.026018.Downloaded
  • Yılmaz A, Uysal Ş, Bedi Y, et al (1997) 1/100000 ölçekli açınsama nitelikli Türkiye Jeoloji Haritaları, Sivas-F23 Paftası. MTA Jeolojik Etüdler Dairesi Derlemesi
  • Yılmaz A, Uysal Ş, Yusufoğlu H, et al (1994) Akdağmasifi (Sivas) dolayının jeolojik incelemesi. Maden Tetkik ve Arama Genel Müdürlügü, Ankara
  • Yılmaz Y, Tüysüz O (1984) Kastamonu-Boyabat Vezirköprü-Tosya arasindaki bölgenin jeolojisi (Ilgaz-Kargi-masiflerinin etüdü). Maden Tetkik ve Arama Genel Müdürlügü, Ankara
  • Yousefi T, Aliyari F, Abedini A, Calagari AA (2018) Integrating geologic and Landsat-8 and ASTER remote sensing data for gold exploration: a case study from Zarshuran Carlin-type gold deposit, NW Iran. Arab J Geosci. https://doi.org/10.1007/s12517-018-3822-x
Toplam 62 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Yer Bilimleri ve Jeoloji Mühendisliği (Diğer)
Bölüm Jeoloji Mühendisliği
Yazarlar

Oktay Canbaz 0000-0002-8161-1326

Esra Ünal Çakır 0000-0002-4196-4303

Yayımlanma Tarihi 3 Eylül 2022
Gönderilme Tarihi 5 Mayıs 2022
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Canbaz, O., & Çakır, E. Ü. (2022). ŞAPHANE (ÇORUM) DAMAR TİPİ ALTIN CEVHERLEŞMESİNDE MULTİSPEKTRAL UYDU GÖRÜNTÜLERİ KULLANILARAK HİDROTERMAL ALTERASYON MİNERAL HARİTALAMASI VE ÇİZGİSELLİK ANALİZİ. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 25(3), 313-328. https://doi.org/10.17780/ksujes.1112817