在埃塞俄比亚北部Sekota地区使用多传感器数据绘制赤铁矿矿床图

Geosystems and Geoenvironment Pub Date : 2025-03-27 DOI:10.1016/j.geogeo.2025.100385

Jerbaw Tiruneh Abejehu , Binyam Tesfaw Hailu , Worash Getaneh , Karuturi Venkata Suryabhagavan

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引用次数: 0

摘要

铁在推动一个国家的经济发展和技术进步方面发挥着至关重要的作用。尽管埃塞俄比亚各地蕴藏着大量铁矿石资源，但远景区的划分却不尽合理。因此，本研究旨在利用 ASTER 和 Sentinel-2A 卫星数据确定埃塞俄比亚 Sekota 地区的铁矿远景区，以便进一步进行现场勘探和测试。此外，还进行了粉末衍射分析（XRD），以确定主要矿物相。利用 ASTER 波段 2/波段 1（ASB2/B1）和 Sentinel-2A 波段 4/波段 2（S2B4/B2）波段比、主成分分析（PCA）和亚像素级绘图技术、混合调谐匹配滤波（MTMF）等图像处理技术绘制赤铁矿分布图。ASB2/B1 和 S2B4/B2 波段比绘制的赤铁矿面积分别为 102.50 平方公里和 97.68 平方公里。68 平方公里。所选的 ASTER PC4 划定的赤铁矿化区面积为 133.40 平方公里，哨兵 2 PC3 划定的赤铁矿化区面积为 110.70 平方公里。提取的赤铁矿内含物与 USGS 重新采样的赤铁矿光谱之间具有很高的光谱特征拟合度。ASTER 和 Sentinel-2 分别为 0.74 和 0.86。在研究区域的不同地方，利用这些内含物通过 MTMF 确定了赤铁矿异常区。粉末 X 射线衍射分析（XRD）显示，赤铁矿相占 Fe2O3 的 36.8%-85.5%。发现 S2B4/B2 和 S2B4/B2 （r = 0.83）、ASB2/B1 和 ASTER PC4 （r = 0.94）之间存在很强的正相关性。ASB2/B2、S2B4/B2（r = 0.44）、PCA（r = 0.44）、ASTER 和 Sentinel-2 MTMF（r = 0.36）之间的相关性中等。这两个数据集的结果显示出相似的区域覆盖率，并与现有的三个已知铁矿分布多边形重叠。由此可见，所采用的技术能有效缩小赤铁矿异常区，以便进一步进行现场地质勘探。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Mapping of hematite ore deposits using multi-sensor data in the Sekota District, Northern Ethiopia

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Mapping of hematite ore deposits using multi-sensor data in the Sekota District, Northern Ethiopia

Iron plays a vital role in fueling the economic development and technological advancement of a country. Despite Ethiopia, being endowed with a large amount of iron ore resources in different parts of the country, prospective zones are not delineated properly. Therefore, this study aims to identify the iron ore prospective zones in the Sekota district of Ethiopia utilizing ASTER and Sentinel−2A satellite data for further onsite exploration and testing. In addition, powder diffraction analysis (XRD) was conducted to determine the dominant mineralogical phases. The image processing techniques such as ASTER band 2/band 1 (ASB2/B1) and Sentinel−2A band 4/band 2 (S2B4/B2) band ratios, principal component analysis (PCA), and subpixel level mapping technique, mixture-tuned matched filtering (MTMF) were used to map the distribution of hematite. ASB2/B1 and S2B4/B2 band ratios mapped hematite iron ore covering an area of 102.50 and 97. 68 km². The selected PC4 of ASTER delineated hematite mineralized zones covering 133.40 km² and Sentinel 2 PC3 of 110.70 km² area. A very high spectral feature fit was found between the extracted hematite endmember and USGS resampled hematite spectra. The spectral fit of the endmember was 0.74 for ASTER and 0.86 for Sentinel−2. Hematite anomaly zones were identified with MTMF using these endmembers in different parts of the study area. Powder X-ray diffraction analysis (XRD) revealed high hematite phases ranging from 36.8%−85.5% of Fe₂O₃. A strong positive correlation was found between S2B4/B2 and S2B4/B2 (r = 0.83), ASB2/B1 and ASTER PC4 (r = 0.94). Moderate correlations for ASB2/B2, S2B4/B2 (r = 0.44), PCA (r = 0.44), ASTER and Sentinel−2 MTMF (r = 0.36). Results of both datasets show comparable areal coverage and overlay with three of the existing known iron occurrence polygons. Thus, it is evident that techniques employed are effective in narrowing hematite anomalies zones for further onsite gological exploration.

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来源期刊

Geosystems and Geoenvironment

CiteScore

4.70

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0.00%

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