Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir

Abstract

Lineament mapping, which is an important part of any structural geological investigation, is made more efficient and easier by the availability of optical as well as radar remote sensing data, such as Landsat and Sentinel with medium and high spatial resolutions. However, the results from these multi-resolution data vary due to their difference in spatial resolution and sensitivity to soil occupation. The accuracy and quality of extracted lineaments depend strongly on the spatial resolution of the imagery. Therefore, the aim of this study was to compare the optical Landsat-8, Sentinel-2A, and radar Sentinel-1A satellite data for automatic lineament extraction. The framework of automatic approach includes defining the optimal parameters for automatic lineament extraction with a combination of edge detection and line-linking algorithms and determining suitable bands from optical data suited for lineament mapping in the study area. For the result validation, the extracted lineaments are compared against the manually obtained lineaments through the application of directional filtering and edge enhancement as well as to the lineaments digitized from the existing geological maps of the study area. In addition, a digital elevation model (DEM) has been utilized for an accuracy assessment followed by the field verification. The obtained results show that the best correlation between automatically extracted lineaments, manual interpretation, and the preexisting lineament map is achieved from the radar Sentinel-1A images. The tests indicate that the radar data used in this study, with 5872 and 5865 lineaments extracted from VH and VV polarizations respectively, is more efficient for structural lineament mapping than the Landsat-8 and Sentinel-2A optical imagery, from which 2338 and 4745 lineaments were extracted respectively.

GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq

“…Since highly faulted areas are not suitable for dam construction [61], dam sites should be located at least 100 m away from lineaments and active faults [14]. Based on these requirements, we implemented all parameters shown in Table 3 [62]. The result was exported as a shapefile and modified within the ArcGIS [63] environment.…”

“…According to Javhar et al [62], the best band for lineaments extraction from Landsat-8/Operational Land Imager (OLI) is the spectral band 5 (near infrared: 0.85-0.88 μm). Therefore, we used this spectral band acquired on 24 September 2018 [64] to extract the lineaments.…”

GIS-based modeling for selection of dam sites in the Kurdistan Region, Iraq

“…Table 3. Threshold parameters and values of lineament extraction [62]. RADI-radius of filter in pixels; GTHR-threshold for edge gradien; LTHR-threshold for curve length; FTHRthreshold for fitting line error; ATHR-threshold for angular difference; and DTHR-threshold for linking distance.…”

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

“…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).…”