De Souza Filho, C. R. and Drury, S. A.
|DOI (Digital Object Identifier) Link:||https://doi.org/10.1080/014311698213821|
|Google Scholar:||Look up in Google Scholar|
Systematic defects in images produced by the JERS-1 Optical Sensor's short wave infrared (SWIR) channels have deterred wide geological applications of the global data that JERS-1 has gathered. Frequency-domain filtering to separate noise from scene-determined signals allows the advantages of the three JERS-1 SWIR channels, covering AI-OH, Mg-OH and C-O spectral features to be assessed in relation to the widely used Landsat Thematic Mapper (TM) data. For the arid, high-grade Barka Terrane in NW Eritrea, two data-optimizing methods permit consistent and comprehensive lithofacies discrimination. These are based on: (i) pairwise principal component analysis that employs groups of two channels oriented to hydroxyl, carbonate and ferric iron species' spectral features; (ii) selection of channels to display RGB images. Optimizing this approach is based on detailed analysis of local spectroradiometry. As a general mapping tool for high-grade rocks the Landsat TM outperforms the JERS-1 Optical Sensor (OPS). However, recovery of OPS channel 8 by frequency-domain filtering uniquely permits routine identification of marbles and, together with TM band 7, allows distinction between rock whose spectra are dominated by Al-OH-and MG-OH-bearing phyllosilicates.
|Item Type:||Journal Article|
|Copyright Holders:||1998 Taylor & Francis Ltd|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Stephen Drury|
|Date Deposited:||28 Apr 2011 08:21|
|Last Modified:||04 Oct 2016 10:52|
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