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首页> 外文期刊>International Journal on Informatics Visualization: JOIV >Application of Remote Sensing Data in Lithological Discrimination of Kerdous Inlier in the Anti Atlas Belt of Morocco
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Application of Remote Sensing Data in Lithological Discrimination of Kerdous Inlier in the Anti Atlas Belt of Morocco

机译:遥感数据在摩洛哥抗地图集腰带岩性思维中的应用

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摘要

Remote sensing data reveals a great importance for lithological mapping due to their spatial, spectral and radiometric characteristics. Lithological mapping using spatial data is a preliminary and important step to mineral mapping. In this work, several spectral and radiometric transformations methods were applied on Landsat 8 OLI data to enhance lithological units in the study area situated in the Anti Atlas belt. The methods of Optimum Index Factor (OIF), Decorrelation Stretching (DS), Principal Components Analysis (PCA) and Band Ratioing (BR) showed good results for lithological mapping in comparison with the existing geological and field investigation. An RGB color composite of OLI bands 651 was developed for mapping lithological units of the study area by fusing optimum index factor (OIF) and decorrelation stretching methods. furthermore, Band ratios derived from image spectra were applied in two RGB color composites (7+4/2, PC1, PC2)? and (PC1, 7/6, 3/7) providing good discrimination of the lithological units. The Landsat-8 OLI data significantly provided satisfied results for lithological mapping.
机译:遥感数据由于其空间,光谱和辐射测量特性而揭示了岩性映射的重要性。使用空间数据的岩性映射是矿物映射的初步和重要步骤。在这项工作中,在Landsat 8 OLI数据上应用了几种光谱和辐射计转换方法,以增强位于抗地图集带中的研究区域的岩性单元。最佳指标因子(OIF),去相关性拉伸(DS),主成分分析(PCA)和带比(BR)的方法显示出与现有地质和实地调查相比的岩性测绘效果。通过熔合最佳指标因子(OIF)和去相关拉伸方法,开发了OLI带651的RGB颜色复合,用于通过熔化最佳指标因子(OIF)和去相关性拉伸方法来映射研究区域的岩性单元。此外,从图像光谱衍生的带比以两个RGB彩色复合材料(7 + 4/2,PC1,PC2)应用? (PC1,7 / 6,3 / 7)提供良好的岩性单元的歧视。 Landsat-8 OLI数据显着为岩性测绘的满意结果。

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