Role of sentinel-2 remotely sensed data in assisting stratigraphic subdivision of a Paleogene carbonate sequence, Jabal Hafit, UAE-Oman

IF 3.7 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Osman Abdelghany , Abdel-Rahman Fowler , Karim Abdelmalik , Abdelaziz Al Azzani , Mahmoud Abu Saima
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引用次数: 0

Abstract

SENTINEL-2 remote sensing data for Jabal Hafit mountain, south of Al Ain, UAE, were obtained for the purpose of mapping the stratigraphic units in this monotonous carbonate-dominant Lower Eocene to Oligocene sequence. The data was processed using spectral reflectance curves collected from representative rock samples. After resampling of measured spectral curves of studied samples, guided by an algorithm to find the sensitive bands, a Principal Component-based false-colour image was obtained and then improved by Decorrelation Stretch (DS). The resulting image was interpreted in a small study area in Oman where the geology was uninterrupted by human activities. Correlation of colour bands in the study area with known stratigraphic units for the region was applied to the DS image for the entire Jabal Hafit mountain area. The results show excellent discrimination of the formations and members of the Hafit Paleogene succession. Other features revealed include the extent and lateral facies changes shown by these units.
sentinel-2遥感数据在协助古近系碳酸盐岩层序地层细分中的作用,Jabal Hafit, uae -阿曼
利用SENTINEL-2遥感资料,对阿联酋Al Ain南部Jabal Hafit山进行了以碳酸盐岩为主的单调下始新统至渐新统层序地层单元制图。利用代表性岩石样品的光谱反射率曲线对数据进行处理。对研究样品的实测光谱曲线进行重采样,在寻找敏感波段算法的指导下,得到基于主成分的伪彩色图像,然后进行去相关拉伸(DS)改进。得到的图像在阿曼的一个小研究区域进行了解释,那里的地质不受人类活动的影响。将研究区彩色带与该地区已知地层单元的相关性应用于整个Jabal Hafit山区的DS图像。结果对海菲特古近系演替的组和段具有较好的识别能力。揭示的其他特征包括这些单元所显示的范围和侧向相变化。
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来源期刊
CiteScore
8.10
自引率
0.00%
发文量
85
审稿时长
48 weeks
期刊介绍: The Egyptian Journal of Remote Sensing and Space Sciences (EJRS) encompasses a comprehensive range of topics within Remote Sensing, Geographic Information Systems (GIS), planetary geology, and space technology development, including theories, applications, and modeling. EJRS aims to disseminate high-quality, peer-reviewed research focusing on the advancement of remote sensing and GIS technologies and their practical applications for effective planning, sustainable development, and environmental resource conservation. The journal particularly welcomes innovative papers with broad scientific appeal.
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