Abstract

In this study, we have used visible near infrared (VNIR) and shortwave infrared (SWIR) spectral bands of the Operational Land Imager (OLI) sensor of Landsat 8 satellite to delineate promising areas for iron exploration in the parts of Madhya Pradesh, India. OLI bands resampled laboratory reflectance spectra of Banded Iron Formation (BIF) were used as the reference to identify OLI spectral bands suitable in recording spectral features of Iron bearing minerals. Subsequently, BIFs were delineated in the principal component (PC) image prepared using those PC bands; which had opposite Eigen vector loading for the spectral bands; which recorded absorption minima and shoulder of the spectral feature of iron. Within the BIF, iron enriched zones were identified by integrating constrained energy minimization (CEM) maps of BIF, hematite and limonite-goethite. Integrated CEM map delineating iron enrichment zones was validated in the field based on measured Fe values of samples using X-ray Fluorescence Instrument.

摘要

在这项研究中，我们使用 Landsat 8 卫星的作战陆地成像仪 (OLI) 传感器的可见近红外 (VNIR) 和短波红外 (SWIR) 光谱带来描绘印度中央邦部分地区有希望进行铁勘探的区域。OLI 波段重采样带状铁地层 (BIF) 的实验室反射光谱作为参考，以确定适合记录含铁矿物光谱特征的 OLI 光谱波段。随后，在使用这些 PC 波段制备的主成分 (PC) 图像中描绘了 BIF；对于光谱带具有相反的特征向量负载；它记录了铁的光谱特征的吸收最小值和肩峰。在 BIF 内，通过整合 BIF、赤铁矿和褐铁矿-针铁矿的约束能量最小化 (CEM) 图来识别富铁区域。