Determination of spectral Signatures of minerals in Karkonosze National Park in Poland from Hyper-spectral Imaging of APEX Sensor

Abstract

Hyper-spectral Imaging (HSI) remote sensors provide a large number of spectral channels per pixel for each image. In this regard, a large amount of information can be obtained for various natural and human phenomena. Geological studies and mineral exploration are the most important applications based on this technology in recent decades. The Hyper-Spectral Imaging (HSI) records the spectral reflections of each metal and saves them in channels with a limited wavelength per channel, which helps in obtaining high-spectral accuracy data that can be effectively used in the analysis, interpretation, extraction and mapping of accurate of mineral and rock types. This study covers the Karkonosze National Park located in southwestern part of Poland. The study aims to extract some types of minerals in the study area based on spectral reflection data of metals from HSI imageries. The study is divided into three sections; the first section corrects the atmospheric effect by applying the Quick Atmosphere Correction (QUAC) method and the Minimum Noise Fraction (MNF) method. The second section discusses the extraction of minerals from (HIS) imageries. The third section displays the classification of the hyper-spectral image based on spectral signatures of minerals using Spectral Angle Mapper (SAM). The result was compared with library data of Jet Propulsion Laboratory (JPL) and USGS as a reference for reflections of similar minerals from HSI imageries. The number of minerals and rocks extracted from HSI imageries is six minerals which are sepiolite, saponite, granite, quartz, kaolinite, and cassiterite.