Field and spaceborne imagery data for evaluation of the paleo-stress regime during formation of the Jurassic dike swarms in the Kalateh Alaeddin Mountain area, Shahrood, north Iran

Kolahi-Azar, Amir Pirooz; Askari, Ghasem; Crispini, Laura; Pour, Amin Beiranvand; Zoheir, Basem; Pradhan, Biswajeet

doi:10.1007/s12517-019-4718-0

Cited by 6 publications

(1 citation statement)

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“…Geological features such as tectonic lineaments are important parameters of any structural geological studies. Remote sensing data such as RADARDAT-1, Landsat data series, PALSAR, ASTER, Sentinel-1 and SPOT-5 have been extensively and successfully used to map tectonic structural features around the world in the last decades (Masoud and Koike 2006;Jensen 2015;Pour et al 2016Pour et al , 2018Radaideh et al 2016;Adiri et al 2017;Ahmadirouhani et al 2017;Eldosouky et al 2017;Masoud and Koike 2017;Hamimi et al 2018;Takodjou Wambo et al 2018;Azar et al 2019;Hamdani and Baali 2019;Hosseini et al 2019;Javhar et al 2019). Lineament mapping helps track fault structures related to ore mineralizations, oil and gas seepage zones, hydrology and geological hazards (Corgne et al 2010;Hashim et al 2013;Pour and Hashim 2017;Alizadeh et al 2018;Ouko et al 2018;Hamdani and Baali, 2020).…”

Section: Introductionmentioning

confidence: 99%

Integrating remote sensing, GIS and in-situ data for structural mapping over a part of the NW Rif belt, Morocco

Skakni

Hlila

Pour

et al. 2021

Geocarto International

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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.

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