Utilizing of ASTER multispectral data in alteration zones and granitic rock types discrimination at Gabal Abu El-Tiyur area, central Eastern Desert, Egypt

Y. Badr, Mahmoud Elsaid
{"title":"Utilizing of ASTER multispectral data in alteration zones and granitic rock types\ndiscrimination at Gabal Abu El-Tiyur area, central Eastern Desert, Egypt","authors":"Y. Badr, Mahmoud Elsaid","doi":"10.36632/csi/2022.11.3.19","DOIUrl":null,"url":null,"abstract":"The present work aims at examining the capability of ASTER VNIR-SWIR bands to discriminate the granitic rocks and detection of alteration types within them, which could be a possible hosting for U-mineralization in the arid climate. The applied image processing techniques comprising relative band depth, band ratios, minimum noise fraction and color band composites supervised classification as well as two spectral mapping methods (matched filtering and mixture tuned matched filtering) were efficient in the granitic rocks discrimination and alteration end-members (hematite, muscovite, kaolinite and chlorite) identification. These results easily differentiate the mélange matrix into a) metasediments rich in blocks and b) metasediments poor in blocks. Also, the granitic rocks are classified into granodiorite, monzogranite, syenogranite, alkali-feldspar granite and alkaline (riebeckite) granite. The associated abnormal level of radioactivity exhibits 18 ppm and 31 ppm for eU, eTh respectively and mainly restricted to the alkali-feldspar granites, which significantly have higher hematite and muscovite content rather than the other exposures. A detailed geologic map of scale 1:100,000 is constructed from the interpretation of the processed ASTER images, fieldwork and petrographic studies. The results confirmed the ability of ASTER data and recommended it as a rapid and cost-effective tool in geological and mineralogical mapping in arid climate especially when the processing based on a detailed knowledge of the rock mineral assemblages. b) to post-orogenic and differentiation; c) granite and muscovite granite; d) monzogranite;","PeriodicalId":90815,"journal":{"name":"Current science international","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current science international","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36632/csi/2022.11.3.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The present work aims at examining the capability of ASTER VNIR-SWIR bands to discriminate the granitic rocks and detection of alteration types within them, which could be a possible hosting for U-mineralization in the arid climate. The applied image processing techniques comprising relative band depth, band ratios, minimum noise fraction and color band composites supervised classification as well as two spectral mapping methods (matched filtering and mixture tuned matched filtering) were efficient in the granitic rocks discrimination and alteration end-members (hematite, muscovite, kaolinite and chlorite) identification. These results easily differentiate the mélange matrix into a) metasediments rich in blocks and b) metasediments poor in blocks. Also, the granitic rocks are classified into granodiorite, monzogranite, syenogranite, alkali-feldspar granite and alkaline (riebeckite) granite. The associated abnormal level of radioactivity exhibits 18 ppm and 31 ppm for eU, eTh respectively and mainly restricted to the alkali-feldspar granites, which significantly have higher hematite and muscovite content rather than the other exposures. A detailed geologic map of scale 1:100,000 is constructed from the interpretation of the processed ASTER images, fieldwork and petrographic studies. The results confirmed the ability of ASTER data and recommended it as a rapid and cost-effective tool in geological and mineralogical mapping in arid climate especially when the processing based on a detailed knowledge of the rock mineral assemblages. b) to post-orogenic and differentiation; c) granite and muscovite granite; d) monzogranite;
埃及东部沙漠Gabal Abu El-Tiyur地区蚀变带ASTER多光谱数据与花岗岩类型判别
本研究旨在研究ASTER VNIR-SWIR波段识别花岗岩的能力,并检测其内部的蚀变类型,这些蚀变类型可能是干旱气候中铀矿化的可能宿主。应用相对频带深度、频带比、最小噪声分数、彩色频带复合监督分类等图像处理技术,以及匹配滤波和混合调谐匹配滤波两种光谱作图方法,对花岗质岩石识别和蚀变端元(赤铁矿、白云母、高岭石和绿泥石)识别具有较好的效果。这些结果很容易将基质区分为a)富含块状的沉积和b)缺乏块状的沉积。花岗岩体可分为花岗闪长岩、二长花岗岩、正长花岗岩、碱长石花岗岩和碱性(丽贝克岩)花岗岩。相关放射性异常水平eU、eTh分别为18 ppm和31 ppm,且主要局限于碱长石花岗岩,其赤铁矿和白云母含量明显高于其他暴露点。根据处理后的ASTER图像、野外工作和岩石学研究,绘制了一幅1:10万比例尺的详细地质图。结果证实了ASTER数据的能力,并推荐它作为干旱气候地质和矿物制图的快速和经济有效的工具,特别是当处理基于对岩石矿物组合的详细了解时。B)后造山期和分异期;C)花岗岩和莫斯科花岗岩;d) monzogranite;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信