遥感对地下-地表关系的洞察力:土地覆盖分析与铜矿勘探

IF 2.7 4区 地球科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Earth Science Informatics Pub Date : 2024-08-16 DOI:10.1007/s12145-024-01423-2
Matthieu Tshanga M, Lindani Ncube, Elna van Niekerk
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引用次数: 0

摘要

这篇综述文章探讨了遥感技术在分析土地覆被方面的关键作用及其对铜矿勘探的影响。研究旨在全面回顾当前利用遥感技术描述富铜地区土地覆被特征的研究和技术进展。它通过结合案例研究和现代文献,提请人们注意地下铜矿化、地表植被和土壤类型之间存在的复杂关系。通过整合卫星图像、地理空间数据和先进的分析方法,本综述展示了遥感技术如何有效地识别和绘制铜矿床高潜力地区的地图。此外,它还讨论了与遥感应用于地质研究相关的挑战和机遇,并对未来的研究方向提出了见解,以加强矿产勘探和环境管理实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Remote sensing insights into subsurface-surface relationships: Land Cover Analysis and Copper Deposits Exploration

This review article examines the critical role of remote sensing techniques in analysing land cover and its implications for copper deposit exploration. The study aims to provide a comprehensive review of current research and technical advancements in using remote sensing to characterise land cover in copper-rich areas. It draws attention to the complex relationships that exist between subsurface copper mineralisation, surface vegetation, and soil types by combining case studies and modern literature. Integrating satellite imagery, geospatial data, and advanced analytical methods, this review demonstrates how remote sensing can effectively identify and map areas with high potential for copper deposits. Furthermore, it discusses the challenges and opportunities associated with remote sensing applications in geological studies and offers insights into future research directions to enhance mineral exploration and environmental management practices.

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来源期刊
Earth Science Informatics
Earth Science Informatics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
4.60
自引率
3.60%
发文量
157
审稿时长
4.3 months
期刊介绍: The Earth Science Informatics [ESIN] journal aims at rapid publication of high-quality, current, cutting-edge, and provocative scientific work in the area of Earth Science Informatics as it relates to Earth systems science and space science. This includes articles on the application of formal and computational methods, computational Earth science, spatial and temporal analyses, and all aspects of computer applications to the acquisition, storage, processing, interchange, and visualization of data and information about the materials, properties, processes, features, and phenomena that occur at all scales and locations in the Earth system’s five components (atmosphere, hydrosphere, geosphere, biosphere, cryosphere) and in space (see "About this journal" for more detail). The quarterly journal publishes research, methodology, and software articles, as well as editorials, comments, and book and software reviews. Review articles of relevant findings, topics, and methodologies are also considered.
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