当前位置: X-MOL 学术Geocarto Int. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Integrating remote sensing, GIS and in-situ data for structural mapping over a part of the NW Rif belt, Morocco
Geocarto International ( IF 3.8 ) Pub Date : 2021-01-07 , DOI: 10.1080/10106049.2020.1852611
Omar Skakni 1 , Rachid Hlila 1 , Amin Beiranvand Pour 2 , Manuel Martín Martín 3 , Ali Maate 1 , Soufian Maate 1 , Aidy M. Muslim 2 , Mohammad Shawkat Hossain 2
Affiliation  

Abstract

This study adopts an integrated approach using the geographic information system (GIS) and remote sensing techniques for structural mapping in inaccessible zone of the internal segment of North-Western Rif belt, Morocco. The Principal Component Analysis (PCA), Optimal Index Factor (OIF), band ratios and directional filtering are applied to Landsat 8 OLI (Operational Land Imager) image for mapping lithology and geological structures. Tectonic lineaments are extracted using the remote sensing and GIS approach and verified by in-situ data. Lithology and detailed structural features in the study area as well as the main sets of fractures trending NW–SE and E–W are identified and highlighted. The results obtained in this research demonstrate that the integration of remote sensing imagery and GIS techniques is a reliable and low-cost approach to fracture extraction and structural mapping, particularly in remote and inaccessible regions of the African plate and other analogue zones around the world.



中文翻译:

整合遥感、地理信息系统和现场数据,在摩洛哥西北里夫带的一部分上进行结构测绘

摘要

本研究采用综合方法,利用地理信息系统 (GIS) 和遥感技术,对摩洛哥西北部里夫带内部难以进入的区域进行结构测绘。主成分分析 (PCA)、最佳指数因子 (OIF)、波段比和方向滤波应用于 Landsat 8 OLI(Operational Land Imager)图像,用于绘制岩性和地质结构图。使用遥感和GIS方法提取构造轮廓并通过现场验证数据。识别并突出显示研究区的岩性和详细构造特征以及 NW-SE 和 E-W 走向的主要裂缝组。本研究获得的结果表明,遥感图像和 GIS 技术的集成是一种可靠且低成本的裂缝提取和结构测绘方法,特别是在非洲板块的偏远和人迹罕至的地区以及世界各地的其他类似地区。

更新日期:2021-01-07
down
wechat
bug