Rock type discrimination using Landsat-8 OLI satellite data in mafic-ultramafic terrain

Pub Date : 2023-09-12 DOI:10.7494/geol.2023.49.3.281
Kuppusamy Tamilarasan, Siddan Anbazhagan, Sundararajan Ranjithkumar
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Abstract

The mafic-ultramafic terrain of the Bhavani complex in southern India is considered for lithological mapping. The Landsat-8 OLI satellite data was used for the interpretation of different rock types in the study area. The satellite data were digitally processed using ENVI 5.6 image processing software. In the OLI data, excluding bands 8 and 9, the remaining seven bands were used for the generation of colour composite images, band ratios, principal component analysis and SVM classification. Reflectance spectral measurements were carried out in laboratory conditions for five rock samples collected from the study area. The XRF analysis was carried out to estimate the composition of major oxides present in the rock samples. The results obtained from XRF analysis were compared with the rock spectra in characterizing the spectral features of the rock types. The colour composite images (B543, B567, B456, and B457), PCA composite image (PC312 and PC456), band ratios (BR5/5 and BR4/3), colour composite images from band ratios, and SVM classified output are useful in delineation various rock types in the terrain.
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基于Landsat-8 OLI卫星数据的基性-超基性地形岩石类型判别
印度南部巴瓦尼杂岩的基性-超基性地形被认为是用于岩性制图的。Landsat-8 OLI卫星数据用于研究区域不同岩石类型的解释。采用ENVI 5.6图像处理软件对卫星数据进行数字化处理。在OLI数据中,除波段8和9外,其余7个波段用于彩色合成图像的生成、波段比、主成分分析和SVM分类。在实验室条件下对研究区采集的5个岩石样品进行了反射光谱测量。XRF分析用于估计岩石样品中主要氧化物的组成。将XRF分析结果与岩石光谱进行比较,以表征岩石类型的光谱特征。彩色合成图像(B543、B567、B456和B457)、PCA合成图像(PC312和PC456)、波段比(BR5/5和BR4/3)、波段比彩色合成图像和支持向量机分类输出可用于圈定地形中各种岩石类型。
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