首页> 外文期刊>Brazilian Journal of Geology >Mapping iron oxides with Landsat-8/OLI and EO-1/Hyperion imagery from the Serra Norte iron deposits in the Caraj??s Mineral Province, Brazil
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Mapping iron oxides with Landsat-8/OLI and EO-1/Hyperion imagery from the Serra Norte iron deposits in the Caraj??s Mineral Province, Brazil

机译:使用巴西Caraj ?? s矿物省的Serra Norte铁矿床的Landsat-8 / OLI和EO-1 / Hyperion影像绘制氧化铁图

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Mapping methods for iron oxides and clay minerals, using Landsat-8/Operational Land Imager (OLI) and Earth Observing 1 (EO-1)/Hyperion imagery integrated with airborne geophysical data, were applied in the N4, N5, and N4WS iron deposits, Serra Norte, Caraj??s, Brazil. Band ratios were achieved on Landsat-8/OLI imagery, allowing the recognition of the main minerals from iron deposits. The Landsat-8/OLI imagery showed a robust performance for iron oxide exploration, even in vegetated shrub areas. Feature extraction and Spectral Angle Mapper hyperspectral classification methods were carried out on EO-1/Hyperion imagery with good results for mapping high-grade iron ore, the hematite-goethite ratio, and clay minerals from regolith. The EO-1/Hyperion imagery proved an excellent tool for fast remote mineral mapping in open-pit areas, as well as mapping waste and tailing disposal facilities. An unsupervised classification was carried out on a data set consisting of EO-1/Hyperion visible near-infrared 74 bands, Landsat-8/OLI-derived Normalized Difference Vegetation Index, Laser Imaging Detection and Ranging-derived Digital Terrain Model, and high-resolution airborne geophysical data (gamma ray spectrometry, Tzz component of gradiometric gravimetry data). This multisource classification proved to be an adequate alternative for mapping iron oxides in vegetated shrub areas and to enhance the geology of the regolith and mineralized areas.
机译:在N4,N5和N4WS铁矿床中,使用Landsat-8 / Operational Land Imager(OLI)和Earth Observing 1(EO-1)/ Hyperion影像以及航空地球物理数据,对氧化铁和粘土矿物进行制图,Serra Norte,Caraj ?? s,巴西。在Landsat-8 / OLI图像上实现了谱带比,从而可以识别铁矿床中的主要矿物。 Landsat-8 / OLI影像显示出即使在植被丛生的地区也可进行氧化铁勘探的强大性能。在EO-1 / Hyperion影像上进行了特征提取和光谱角映射器高光谱分类方法,对高品位铁矿石,赤铁矿-针铁矿比例和重矿物的粘土矿物进行映射具有良好的效果。 EO-1 / Hyperion影像被证明是用于在露天区域快速进行远程矿物测绘以及对废物和尾矿处理设施进行测绘的出色工具。在由EO-1 / Hyperion可见近红外74波段,Landsat-8 / OLI归一化的差异植被指数,激光成像检测和测距衍生的数字地形模型以及高光谱数据组成的数据集上进行了无监督分类分辨率的机载地球物理数据(伽马射线光谱法,梯度重力法数据的Tzz分量)。事实证明,这种多源分类法是在植被覆盖的地区测绘氧化铁的一种适当替代方法,并且可以增强碎屑岩和矿化区的地质状况。

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