Assessing the Suitability of Territories for Detailed Geological and Mineralogical Mapping Based on Statistical Methods for Processing Remote Sensing Data from the Landsat-8 Spacecraft: Using the Example of Southeastern Zabaykalsky Krai, Russia

IF 0.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Izvestiya Atmospheric and Oceanic Physics Pub Date : 2024-01-31 DOI:10.1134/s0001433823090141

I. O. Nafigin, V. T. Ishmuhametova, S. A. Ustinov, V. A. Minaev, V. A. Petrov

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Abstract

This paper considers the suitability of using multispectral remote sensing data from the Landsat-8 satellite for conducting regional geological and mineralogical mapping of the territory of southeastern Zabaykalsky krai (Russia) under conditions of medium–low mountain relief and continental climate. To increase the spectral information content of Landsat-8 satellite data, statistical processing algorithms are used, including principal component analysis (PCA), minimum noise fraction (MNF), and independent component analysis (ICA). Statistical processing results are compared with the classes of geological materials: minerals of the oxide/hydroxide group containing transitional iron ions (Fe³⁺ and Fe³⁺/Fe²⁺); a group of clay minerals containing Al-OH and Fe, Mg-OH; and minerals containing divalent iron ion (Fe²⁺) and vegetation cover. Pseudocolor RGB composites are generated and interpreted, reflecting the distribution and multiplication of classes of geological materials. To build a prospectivity scheme for the discovery of the minerals, the integration of informative thematic layers is carried out using a fuzzy logic model. The resulting scheme is compared with geological information, and positive conclusions are made about the suitability of territory for further remote studies on mapping hydrothermally altered zones and hypergenesis products in order to localize areas that are promising for revealing hydrothermal–metasomatic mineralization.

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基于处理 Landsat-8 号航天器遥感数据的统计方法评估领土是否适合进行详细的地质和矿物测绘：以俄罗斯后贝加尔边疆区东南部为例

摘要本文研究了在中低山地地貌和大陆性气候条件下，利用大地遥感卫星-8 号的多光谱遥感数据对后贝加尔边疆区（俄罗斯）东南部领土进行区域地质和矿物测绘的适宜性。为了增加 Landsat-8 卫星数据的光谱信息量，使用了统计处理算法，包括主成分分析（PCA）、最小噪声分数（MNF）和独立成分分析（ICA）。统计处理结果与地质材料类别进行了比较：含过渡铁离子（Fe3+ 和 Fe3+/Fe2+）的氧化物/氢氧化物组矿物；含 Al-OH 和 Fe、Mg-OH 的粘土矿物组；含二价铁离子（Fe2+）的矿物和植被。生成并解释了伪彩色 RGB 合成物，反映了地质材料类别的分布和繁殖情况。为了建立发现矿产的远景方案，使用模糊逻辑模型对信息主题层进行了整合。将得出的方案与地质信息进行比较，并就领土是否适合进一步开展绘制热液蚀变带和超成因产物的远程研究做出积极结论，以确定有希望揭示热液-金属成矿作用的区域。

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来源期刊

Izvestiya Atmospheric and Oceanic Physics 地学-海洋学

CiteScore

1.40

自引率

28.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Izvestiya, Atmospheric and Oceanic Physics is a journal that publishes original scientific research and review articles on vital issues in the physics of the Earth’s atmosphere and hydrosphere and climate theory. The journal presents results of recent studies of physical processes in the atmosphere and ocean that control climate, weather, and their changes. These studies have possible practical applications. The journal also gives room to the discussion of results obtained in theoretical and experimental studies in various fields of oceanic and atmospheric physics, such as the dynamics of gas and water media, interaction of the atmosphere with the ocean and land surfaces, turbulence theory, heat balance and radiation processes, remote sensing and optics of both media, natural and man-induced climate changes, and the state of the atmosphere and ocean. The journal publishes papers on research techniques used in both media, current scientific information on domestic and foreign events in the physics of the atmosphere and ocean.