Lineament mapping and its application in landslide hazard assessment: a review

Ramli, Mohammad Firuz; Yusof, Norbazlan Mohd; Yusoff, Mohd Kamil; Juahir, Hafizan; Shafri, Helmi Zulhaidi Mohd

doi:10.1007/s10064-009-0255-5

Cited by 123 publications

(54 citation statements)

References 108 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The identification of lineaments would be extremely difficult if it is depended only on fieldwork. Lineament mapping and analysis is, however, a significant part of neotectonic and structural geology studies since they can provide essential clues about late Quaternary tectonic deformation and environmental hazards (Panizza and Castaldini, 1987;Shake and McHone, 1987;Gabrielsen et al, 2002;Ramli et al, 2010;Koike, 2011a, 2011b;Saadi et al, 2011;Ali, 2012).…”

Section: Introductionmentioning

confidence: 99%

Detection and analysis of morphotectonic features utilizing satellite remote sensing and GIS: An example in SW Jordan

et al. 2016

View full text Add to dashboard Cite

This study investigates the dominant orientations of morphological features and the relationship between these trends and the spatial orientation of tectonic structures in SW Jordan. Landsat 8 and hill-shaded images, constructed from 30 m-resolution ASTER-GDEM data, were used for automatically extracting and mapping geological lineaments. The ASTER-GDEM was further utilized to automatically identify and extract drainage network. Morphological features were analyzed by means of azimuth frequency and length density distributions. Tectonic controls on the land surface were evaluated using longitudinal profiles of many westerly flowing streams. The profiles were taken directly across the northerly trending faults within a strong topographic transition between the low-gradient uplands and the deeply incised mountain front on the east side of the Dead Sea Fault Zone. Streams of the area are widely divergent, and show numerous anomalies along their profiles when they transect faults and lineaments. Five types of drainage patterns were identified: dendritic, parallel, rectangular, trellis, and modified dendritic/trellis. Interpretation and analysis of the lineaments indicate the presence of four main lineament populations that trend ~E-W, ~N-S, NE-SW, and NW-SE. Azimuthal distribution analysis of both the measured structures and drainage channels shows similar trends, except for very few differences in the prevailing directions. The similarity in orientation of lineaments, drainage system, and subsurface structural trends highlights the degree of control exerted by underlying structure on the surface geomorphological features. Faults and lineaments serve as a preferential conduit for surface running waters. The extracted lineaments were divided into five populations based on the main age of host rocks outcropping in the study area to obtain information about the temporal evolution of the lineament trends through geologic time. A general consistency in lineament trends over the different lithological units was observed, most probably because repeated reactivation of tectonism along preexisting deep structural discontinuities which are apparently crustal weakness zones. The reactivation along such inherited discontinuities under the present-day stress field is the most probable explanation of the complicated pattern and style of present-day landscape features in SW Jordan.

show abstract

Section: Introductionmentioning

confidence: 99%

Detection and analysis of morphotectonic features utilizing satellite remote sensing and GIS: An example in SW Jordan

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Previous studies have demonstrated good results in mapping linear discontinuities from satellite images [23][24][25][26]. The automatic lineament extraction algorithm in Geomatica 2015 software, integrated in the LINE module, was used in this study.…”

Section: The Automatic Lineament Extraction Algorithmmentioning

confidence: 99%

Semi-Automatic Mapping of Tidal Cracks in the Fast Ice Region near Zhongshan Station in East Antarctica Using Landsat-8 OLI Imagery

Hui

Zhao

et al. 2016

Remote Sensing

View full text Add to dashboard Cite

Tidal cracks are linear features that appear parallel to coastlines in fast ice regions due to the actions of periodic and non-periodic sea level oscillations. They can influence energy and heat exchange between the ocean, ice, and atmosphere, as well as human activities. In this paper, the LINE module of Geomatics 2015 software was used to automatically extract tidal cracks in fast ice regions near the Chinese Zhongshan Station in East Antarctica from Landsat-8 Operational Land Imager (OLI) data with resolutions of 15 m (panchromatic band 8) and 30 m (multispectral bands 1-7). The detected tidal cracks were determined based on matching between the output from the LINE module and manually-interpreted tidal cracks in OLI images. The ratio of the length of detected tidal cracks to the total length of interpreted cracks was used to evaluate the automated detection method. Results show that the vertical direction gradient is a better input to the LINE module than the top-of-atmosphere (TOA) reflectance input for estimating the presence of cracks, regardless of the examined resolution. Data with a resolution of 15 m also gives better results in crack detection than data with a resolution of 30 m. The statistics also show that, in the results from the 15-m-resolution data, the ratios in Band 8 performed best with values of the above-mentioned ratio of 50.92 and 31.38 percent using the vertical gradient and the TOA reflectance methods, respectively. On the other hand, in the results from the 30-m-resolution data, the ratios in Band 5 performed best with ratios of 47.43 and 17.8 percent using the same methods, respectively. This implies that Band 8 was better for tidal crack detection than the multispectral fusion data (Bands 1-7), and Band 5 with a resolution of 30 m was best among the multispectral data. The semi-automatic mapping of tidal cracks will improve the safety of vehicles travel in fast ice regimes.

show abstract

“…Lineament mapping is an important part of structural geology and they reveal the architecture of the underlying rock basement (Ramli et al, 2010). Lineament extraction involve both manual visualization and automatic lineament extraction through softwares such us PCI GeoAnalyst, Geomatica, Canny algorithm (e.g.…”

Section: Utility Of Dip Of Multispectral Medium Resolution Data To Gementioning

confidence: 99%

“…For example, Qari et al, (2008) extracted the structural information from Landsat ETM+ band 8 using PCI GeoAnalyst software by applying edge detection and directional filtering followed by overlaying with ASTER band ratio 6/8, 4/8, 11/14 in RGB to create a geological map. Kocal et al, (2004) urbanization, extensive weathering and recent non-consolidated deposits may hinder the detection of lineaments thus the need for ground truthing or earlier satellite images (Ramli et al, 2010).…”

Section: Utility Of Dip Of Multispectral Medium Resolution Data To Gementioning

confidence: 99%

A comparison of Landsat 8 (OLI) and Landsat 7 (ETM+) in mapping geology and visualising lineaments: A case study of central region Kenya

Mwaniki

Moeller

Schellmann

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Availability of multispectral remote sensing data cheaply and its higher spectral resolution compared to remote sensing data with higher spatial resolution has proved valuable for geological mapping exploitation and mineral mapping. This has benefited applications such as landslide quantification, fault pattern mapping, rock and lineament mapping especially with advanced remote sensing techniques and the use of short wave infrared bands. While Landsat and Aster data have been used to map geology in arid areas and band ratios suiting the application established, mapping in geology in highland regions has been challenging due to vegetation land cover. The aim of this study was to map geology and investigate bands suited for geological applications in a study area containing semi arid and highland characteristics. Therefore, Landsat 7 (ETM+, 2000) and Landsat 8 (OLI, 2014) were compared in determining suitable bands suited for geological mapping in the study area. The methodology consist performing principal component and factor loading analysis, IHS transformation and decorrelation stretch of the FCC with the highest contrast, band rationing and examining FCC with highest contrast, and then performing knowledge base classification. PCA factor loading analysis with emphasis on geological information showed band combination (5, 7, 3) for Landsat 7 and (6, 7, 4) for Landsat 8 had the highest contrast and more contrast was enhanced by performing decorrelation stretch. Band ratio combination (3/2, 5/1, 7/3) for Landsat 7 and (4/3, 6/2, 7/4) for Landsat 8 had more contrast on geologic information and formed the input data in knowledge base classification. Lineament visualisazion was achieved by performing IHS transformation of FCC with highest contrast and its saturation band combined as follows: Landsat 7 (IC1, PC2, saturation band), Landsat 8 (IC1, PC4, saturation band). The results were compared against existing geology maps and were superior and could be used to update the existing maps.* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

show abstract

Lineament mapping and its application in landslide hazard assessment: a review

Cited by 123 publications

References 108 publications

Detection and analysis of morphotectonic features utilizing satellite remote sensing and GIS: An example in SW Jordan

Detection and analysis of morphotectonic features utilizing satellite remote sensing and GIS: An example in SW Jordan

Semi-Automatic Mapping of Tidal Cracks in the Fast Ice Region near Zhongshan Station in East Antarctica Using Landsat-8 OLI Imagery

A comparison of Landsat 8 (OLI) and Landsat 7 (ETM+) in mapping geology and visualising lineaments: A case study of central region Kenya

Contact Info

Product

Resources

About