利用 ASTER 和 Sentinel-2A 图像对 Hasançelebi 地区(土耳其马拉蒂亚)及其附近的含铁岩石进行识别和实地验证

IF 2.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Sedat İnal, Kaan Sevki Kavak
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引用次数: 0

摘要

在这项研究中,对 ASTER 和 Sentinel-2A 卫星图像进行了图像处理,并利用获得的数据揭示了靠近 Divriği(锡瓦斯)的 Hasançelebi(马拉蒂亚)附近的含铁岩石,Divriği(锡瓦斯)是土耳其安纳托利亚中东部地区最重要的铁产地之一。遥感图像,特别是可见光-近红外(VNIR)和部分短波红外(SWIR)波段,已被用来识别含铁矿物和岩石。为了识别含铁矿物和岩石,采用了各种波段配比过程。利用平行六面体算法对得到的比率图像进行监督分类,以创建含铁矿物的分类分布。根据分类结果,亚铁(Fe2+)和铁氧化物与蛇绿岩、亚铁硅酸盐和铁(Fe3+)的关联度较高。这些分布一般与碎屑岩岩性有关,而红土和花岗岩似乎与火山岩和深成岩有关。由于近红外波段的带宽不同,在相同的地表区域,哨兵-2A 的分类与 ASTER 的分类相比像素数最高。在实地考察期间,收集了代表该地区岩性和含铁矿物的岩石样本,并对这些样本进行了矿物岩石学、地球化学和 XRD 分析。此外,为了进行光谱矿物鉴定并将含铁矿物与其他分析结果进行比较,还通过分析光谱设备(ASD)从相同的样本中获得了光谱特征。数字高程模型(DEM)在提取线状构造和断层等特征时优于光学图像,因为线状构造和断层在沿构造不连续面的矿床开发中起着至关重要的作用。将线状分析结果与之前研究中发现的铁矿床重叠后发现,发现的铁矿床主要与西里特贝伦-奥特曼戈吕断层(Ciritbelen-Otmangölü Fault,COF)以及其他相关断层系统有关。它们一般分布在蛇绿岩切片和周围的岩浆侵入体中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification and field verification of Fe-bearing rocks in the Hasançelebi region (Malatya, Türkiye) and its vicinity using ASTER and Sentinel-2A images

In this study, image processing has been applied to ASTER and Sentinel-2A satellite images, and obtained data is used to reveal Fe-bearing rocks in the vicinity of Hasançelebi (Malatya), close to Divriği (Sivas) which is one of the most important iron provenances in the Central-Eastern Anatolia region of Türkiye. Remote sensing images, particularly the visible-near-infrared (VNIR) and partially shortwave infrared (SWIR) bands, have been employed to identify Fe-bearing minerals and rocks. With the purpose of identifying Fe-bearing minerals and rocks, various band rationing processes have been applied. Supervised classification which utilizes a parallelepiped algorithm has been employed on the resulting ratio images to create classification distributions for Fe-bearing minerals. According to the classification results; ferrous iron (Fe2+) and ferric oxides are more associated with ophiolitic rocks, ferrous silicates and ferric iron (Fe3+). The distributions are generally associated with clastic lithologies, and laterite and gossan appear to be associated with volcanic and plutonic rocks. Because of the different band widths in the VNIR range, Sentinel-2A classifications have the highest pixel count when compared to ASTER classifications for the same surface areas. During fieldwork, rock samples representing the lithologies and Fe-bearing minerals in the region have been collected and mineralogical-petrographic, geochemical, and XRD analyses have been conducted on these samples. Additionally, for spectral mineral identification and to compare Fe-bearing minerals with other analysis results, spectral signatures have also been obtained from the same samples via Analytical Spectral Device (ASD). In extracting features such as lineaments and faults, which play a crucial role in the development of ore deposits along the structural discontinuities, digital elevation models (DEM) have been preferred instead of optical images. When lineament analysis results and iron deposits, which had been identified in previous studies, were overlapped, it has been detected that revealed iron deposits are predominantly associated with the Ciritbelen-Otmangölü Fault (COF) which is an approximately east-west trending strike-slip fault located in the study area, along with other related fault systems. They are generally distributed within an ophiolitic slice and the surrounding magmatic intrusions.

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来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
期刊介绍: Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth: Water and soil contamination caused by waste management and disposal practices Environmental problems associated with transportation by land, air, or water Geological processes that may impact biosystems or humans Man-made or naturally occurring geological or hydrological hazards Environmental problems associated with the recovery of materials from the earth Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials Management of environmental data and information in data banks and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.
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