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通过多传感器遥感和航空地球物理数据实现更好的热液蚀变划分。

Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data.

机构信息

Department of Mineralogy and Geology, University of Debrecen, Debrecen, 4032, Hungary.

Department of Geology, Tanta University, Tanta, 31527, Egypt.

出版信息

Sci Rep. 2023 May 6;13(1):7406. doi: 10.1038/s41598-023-34531-y.

Abstract

Integrating various tools in targeting mineral deposits increases the chance of adequate detection and characterization of mineralization zones. Selecting a convenient dataset is a key for a precise geological and hydrothermal alteration mapping. Remote sensing and airborne geophysical data have proven their efficiency as tools for reliable mineral exploration. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced land imager (ALI), Landsat 8 (L8), and Sentinel 2 data are widely-used data among various types of remote sensing images in resolving lithological and hydrothermal alteration mapping over the last two decades. ASTER is a well-established satellite in geological remote sensing with detailed Short-wave infrared (SWIR) range compared to visible and near-infrared region (VNIR) that controls iron-associated alteration detection. On contrary, ALI has excellent coverage of the VNIR area (6 bands), but does not possess the potentiality of ASTER for the SWIR and thermal regions. Landsat 8 is widely used and highly recommended for lithological and hydrothermal alteration mapping. The higher spatial (up to 10 m) resolution of Sentinel 2 MSI has preserved its role in producing accurate geological mapping. Notwithstanding the foregoing, implementing the four datasets in a single study is time-consuming. Thus, an important question when commencing an exploration project for hydrothermal alterations-related mineralization (orogenic mineral deposits in the current research) is: which dataset should be adopted to fulfill proper and adequate outputs? Here the four widely recommended datasets (ASTER, ALI, L8, and sentinel 2) have been tested by applying the widely-accepted techniques (false color combinations, band ratios, directed principal component analysis, and constrained energy minimization) for geological and hydrothermal alteration mapping of Gabal El Rukham-Gabal Mueilha district, Egypt. The study area is covered mainly by Neoproterozoic heterogeneous collection of ophiolitic components, island arc assemblage, intruded by enormous granitic rocks. Additionally, airborne magnetic and radiometric data were applied and compared with the remote sensing investigations for deciphering the structural and hydrothermal alteration patterns within the study area. The results demonstrated a different extent from one sensor to another, highlighting their varied efficacy in detecting hydrothermal alterations (mainly hydroxyl-bearing alterations and iron oxides). Moreover, the analysis of airborne magnetic and radiometric data showed hydrothermal alteration zones that are consistent with the detected alteration pattern. The coincidence between high magnetic anomalies, high values of the K/eTh ratio, and the resultant alterations confirm the real alteration anomalies. Over and above that, the remote sensing results and airborne geophysical indications were verified with fieldwork and petrographic investigations, and strongly recommend combining ASTER and Sentinel 2 results in further investigations. Based on the outputs of the current research, we expect better hydrothermal alteration delineation by adopting the current findings as they sharply narrow the zones to be further investigated via costly geophysical and geochemical methods in mineral exploration projects.

摘要

综合利用各种工具来定位矿床可提高充分检测和描述矿化带的可能性。选择合适的数据集是进行精确地质和热液蚀变测绘的关键。遥感和航空地球物理数据已被证明是可靠矿产勘查工具。高级星载热发射和反射辐射计 (ASTER)、高级陆地成像仪 (ALI)、Landsat 8 (L8) 和 Sentinel 2 数据是过去二十年中各种遥感图像中广泛使用的数据,可用于解决岩性和热液蚀变测绘问题。ASTER 是地质遥感领域中经过验证的卫星,与可见光和近红外区域 (VNIR) 相比,其短波红外 (SWIR) 范围详细,可控制与铁相关的蚀变检测。相反,ALI 对 VNIR 区域(6 个波段)的覆盖范围很好,但不具备 ASTER 在 SWIR 和热区的潜力。Landsat 8 被广泛应用且强烈推荐用于岩性和热液蚀变测绘。Sentinel 2 MSI 更高的空间(高达 10 米)分辨率使其在生成准确地质测绘方面发挥了作用。尽管如此,在单个研究中实施这四个数据集是很耗时的。因此,在开展与热液蚀变相关的矿产(当前研究中的造山型矿床)的勘查项目时,一个重要问题是:应该采用哪个数据集才能获得合适和充分的结果?在这里,通过应用广泛接受的技术(假彩色组合、波段比、定向主成分分析和约束能量最小化)对埃及 Gabal El Rukham-Gabal Mueilha 地区进行地质和热液蚀变测绘,测试了这四个广泛推荐的数据集(ASTER、ALI、L8 和 Sentinel 2)。研究区主要由新元古代混杂的蛇绿岩成分、岛弧组合组成,并被巨大的花岗岩侵入。此外,还应用了航空磁测和放射性测量数据,并将其与遥感调查进行了比较,以解译研究区内的构造和热液蚀变模式。结果表明,不同传感器的结果存在差异,突出了它们在检测热液蚀变(主要是含羟基蚀变和氧化铁)方面的不同效果。此外,航空磁测和放射性测量数据的分析显示出热液蚀变带与检测到的蚀变模式一致。高磁异常、高 K/eTh 比值与蚀变结果之间的一致性证实了真正的蚀变异常。除此之外,遥感结果和航空地球物理指标与野外工作和岩相学研究进行了验证,并强烈建议在进一步研究中结合 ASTER 和 Sentinel 2 的结果。基于当前研究的结果,我们预计通过采用这些发现,热液蚀变的划分将得到改善,因为它们大大缩小了通过昂贵的地球物理和地球化学方法在矿产勘查项目中进一步调查的区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e34e/10164183/39f9ba71bb14/41598_2023_34531_Fig2_HTML.jpg

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