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Journal articles on the topic 'Lineament extraction'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Enoh, Mfoniso Asuquo, Francis Ifeanyi Okeke, and Uzoma Chinenye Okeke. "AUTOMATIC LINEAMENTS MAPPING AND EXTRACTION IN RELATIONSHIP TO NATURAL HYDROCARBON SEEPAGE IN UGWUEME, SOUTH-EASTERN NIGERIA." Geodesy and cartography 47, no. 1 (April 8, 2021): 34–44. http://dx.doi.org/10.3846/gac.2021.12099.

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The study focus on the integration of Remote Sensing and Geographic Information System for identification and delineation of lineaments in relation to natural hydrocarbon seepage, which occur in Ugwueme, South-Eastern Nigeria. To achieve this objective, remotely sensed data (ASTER Digital Elevation Model and Landsat 8 OLI/TIRS) were used to depict the surface expression of faults, folds and fractures which are expressed in the form of lineaments. The global positioning system (GPS) was also used for ground verification. The geology map of the study area, which is elucidated in the geology of Nigeria was used to show the distribution of rocks and other geologic structures. The delineation of lineament features was done automatically with the PCI Geomatica while the Rock ware was used to generate the Rose diagram for demonstration of the direction of the extracted lineaments. The classification of the lineaments density and the lineaments intersection analysis were categorized as very low, low, moderate, high and very high classes respectively. Areas classified as very high to high lineaments density are potential zone, which act as conduits for hydrocarbon seepage. The result shows that a total lineament frequency of 947 km and a total lineament length of 946 km were delineated from the satellite data. The result further shows that areas with high lineaments density are concentrated in the southwest, south, central and northern part of the study area while areas with low lineament density were found within the eastern part of Ugwueme. The Rose diagram highlight the major trend in the (NE-SW), (N-S) and (NW-SE) directions, and the minor trend in the (W-E) direction. These directional trends depict the directions of lineaments which act as conduits zones for hydrocarbon seepage in the region. The overall findings of the study shows that lineament density, lineament intersection and rose diagrams are concepts applicable in hydrocarbon oil and gas seepages.

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2

Adhab, Safaa Sabah. "Lineament automatic extraction analysis for Galal Badra river basin using Landsat 8 satellite image." Iraqi Journal of Physics (IJP) 12, no. 25 (February 12, 2019): 44–55. http://dx.doi.org/10.30723/ijp.v12i25.303.

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This research including lineament automated extraction by using PCI Geomatica program, depending on satellite image and lineament analysis by using GIS program. Analysis included density analysis, length density analysis and intersection density analysis. When calculate the slope map for the study area, found the relationship between the slope and lineament density.The lineament density increases in the regions that have high values for the slope, show that lineament play an important role in the classification process as it isolates the class for the other were observed in Iranian territory, clearly, also show that one of the lineament hit shoulders of Galal Badra dam and the surrounding areas dam. So should take into consideration the lineaments because its plays an important role in the study area.

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3

Javhar, Aminov, Xi Chen, Anming Bao, Aminov Jamshed, Mamadjanov Yunus, Aminov Jovid, and Tuerhanjiang Latipa. "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." Remote Sensing 11, no. 7 (April 1, 2019): 778. http://dx.doi.org/10.3390/rs11070778.

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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.

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Liu, Chun Xue, Liang Tan, Chun Zhong Ni, and Yong Feng Yan. "Automatically Extraction of Lineaments from DEM." Applied Mechanics and Materials 391 (September 2013): 394–97. http://dx.doi.org/10.4028/www.scientific.net/amm.391.394.

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Faults, which role greatly in the generation and spatial distribution of mineral resources, are always related to the lineament interpreted from remote sensing data. This paper introduces an improved segment tracing algorithm (STA) to interpret lineament from remote sensing data (DEM) in Gejiu tin mine, China. In this analysis, a lineament is treated as a straight line in the horizontal plane and its dip is not considered. A fault is created by connecting several lineaments, which appear to belong to the same system, using the criteria of distance and directional angle. The proposed method was applied to mines in Gejiu tin mine, a area of Triassic limestone with tin mine. A correlation exists between interpreted fault orientations and (1) the predominant azimuth of joints appearing on the tunnel walls of a tin deposit in the limestone area and (2) the orientation of main tin deposits. Furthermore, the proposed method is capable of calculating the intersection pattern of fractures at an arbitrary level below the ground surface.

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5

Ahmadi, Hemayatullah, and Emrah Pekkan. "Fault-Based Geological Lineaments Extraction Using Remote Sensing and GIS—A Review." Geosciences 11, no. 5 (April 24, 2021): 183. http://dx.doi.org/10.3390/geosciences11050183.

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Geological lineaments are the earth’s linear features indicating significant tectonic units in the crust associated with the formation of minerals, active faults, groundwater controls, earthquakes, and geomorphology. This study aims to provide a systematic review of the state-of-the-art remote sensing techniques and data sets employed for geological lineament analysis. The critical challenges of this approach and the diverse data verification and validation techniques will be presented. Thus, this review spanned academic articles published since 1975, including expert reports and theses. Landsat series, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Sentinel 2 are the prevalent optical remote sensing data widely used for lineament detection. Moreover, Shuttle Radar Topography Mission (SRTM) derived Digital Elevation Model (DEM), Synthetic-aperture radar (SAR), Interferometric synthetic aperture radar (InSAR), and Sentinel 1 are the typical radar remotely sensed data which are widely used for the detection of geological lineaments. The geological lineaments acquired via GIS techniques are not consistent even though a variety of manual, semi-automated, and automated techniques are applied. Therefore, a single method may not provide an accurate lineament distribution and may include artifacts requiring integration of multiple algorithms, e.g., manual and automated algorithms.

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6

Mallast, U., R. Gloaguen, S. Geyer, T. Rödiger, and C. Siebert. "Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data." Hydrology and Earth System Sciences 15, no. 8 (August 25, 2011): 2665–78. http://dx.doi.org/10.5194/hess-15-2665-2011.

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Abstract. In this paper we present a semi-automatic method to infer groundwater flow-paths based on the extraction of lineaments from digital elevation models. This method is especially adequate in remote and inaccessible areas where in-situ data are scarce. The combined method of linear filtering and object-based classification provides a lineament map with a high degree of accuracy. Subsequently, lineaments are differentiated into geological and morphological lineaments using auxiliary information and finally evaluated in terms of hydro-geological significance. Using the example of the western catchment of the Dead Sea (Israel/Palestine), the orientation and location of the differentiated lineaments are compared to characteristics of known structural features. We demonstrate that a strong correlation between lineaments and structural features exists. Using Euclidean distances between lineaments and wells provides an assessment criterion to evaluate the hydraulic significance of detected lineaments. Based on this analysis, we suggest that the statistical analysis of lineaments allows a delineation of flow-paths and thus significant information on groundwater movements. To validate the flow-paths we compare them to existing results of groundwater models that are based on well data.

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Mallast, U., R. Gloaguen, S. Geyer, T. Rödiger, and C. Siebert. "Semi-automatic extraction of lineaments from remote sensing data and the derivation of groundwater flow-paths." Hydrology and Earth System Sciences Discussions 8, no. 1 (January 28, 2011): 1399–431. http://dx.doi.org/10.5194/hessd-8-1399-2011.

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Abstract. We describe a semi-automatic method to objectively and reproducibly extract lineaments based on the global one arc-second ASTER GDEM. The combined method of linear filtering and object-based classification ensures a high degree of accuracy resulting in a lineament map. Subsequently lineaments are differentiated into geological and morphological lineaments to assign a probable origin and hence a hydro-geological significance. In the western catchment area of the Dead Sea (Israel) the orientation and location of the differentiated lineaments are compared to characteristics of known structural features. The authors demonstrate that a strong correlation between lineaments and structural features exist, being either influenced by the Syrian Arc paleostress field or the Dead Sea stress field or by both. Subsequently, we analyse the distances between lineaments and wells thereby creating an assessment criterion concerning the hydraulic significance of detected lineaments. Derived from this analysis the authors suggest that the statistic analysis of lineaments allows a delineation of flow-paths and thus significant information for groundwater analysis. We validate the flow-path delineation by comparison with existing groundwater model results based on well data.

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8

Al-Obeidat, Feras, Leonardo Feltrin, and Farhi Marir. "Cloud-based Lineament Extraction of Topographic Lineaments from NASA Shuttle Radar Topography Mission Data." Procedia Computer Science 83 (2016): 1250–55. http://dx.doi.org/10.1016/j.procs.2016.04.260.

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9

Zhang, Lili, Jiansheng Wu, Tianyao Hao, and Jialin Wang. "Automatic lineament extraction from potential-field images using the Radon transform and gradient calculation." GEOPHYSICS 71, no. 3 (May 2006): J31—J40. http://dx.doi.org/10.1190/1.2194521.

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Linear anomalies are critical in the interpretation of gravity and magnetic data. Visual identification of lineaments is usually done by experienced interpreters, and identification results then have to undergo a digitization or import procedure. The traditional identification method has unavoidable subjectivity and inefficiency. To overcome these limitations, we fuse the Radon transform (RT) with gradient calculation to process gravity or magnetic data and to realize automatic detection and extraction of lineaments. As part of the detection procedure, we define the RT-based mean gradient (MG), effective mean gradient (EMG), and residual mean gradient (RMG) in order to highlight long linear segments or to enhance short linear ones in the transform domain. The gradient forms are applied self-adaptively and self-selectively to gravity or magnetic images according to specific conditions. Gradient directions are also taken into account in the transformation procedure to emphasize the characteristics of linear anomalies. To extract the position and length of the detected lineaments from the transform domain, a constraint inverse searching method (CISM) is given and used to locate the starting and end points of the lineaments. The method can deal with the condition that there is at least one linear section in a specific direction or that separate linear sections may belong to one lineament. Through tests with synthetic images and with real data from the Haijiao upheaval area in the East China Sea Basin, the detection and extraction methods are shown to be more effective and robust than the conventional RT applications. The results from the real data roughly coincide with major geologic faults that are visually identified. These results show that the methods constitute a useful tool to aid fault interpretation.

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10

Nugroho, Udhi C., and Arum Tjahjaningsih. "LINEAMENT DENSITY INFORMATION EXTRACTION USING DEM SRTM DATA TO PREDICT THE MINERAL POTENTIAL ZONES." International Journal of Remote Sensing and Earth Sciences (IJReSES) 13, no. 1 (June 21, 2017): 67. http://dx.doi.org/10.30536/j.ijreses.2016.v13.a2704.

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Utilization of remote sensing in geology is based on some identification of main parameters. They were the relief or morphology, flow patterns, and lineament. So it was necessary to study extraction method based on those parameters. This study aimed to obtain lineament density zone in the Geumpang area, Aceh, associated with mineral resource potential. Information of lineament density using remote sensing data was expected to help solve the problems that arised in the activities of early exploration, the difficulty of finding the prospect areas, so that the activities of pre-exploration always required a wide area and required a long time to determine the location of mineral prospect areas, it would have a direct impact on the financial of exploration activities. The used data was Landsat 8 and DEM SRTM of 30 m. The used method was processing of shaded relief on DEM data with the azimuth angle 0o, 45o, 90o, and 135o, then the result of hill shade process was done overlay, so DEM seen from all different azimuth angles. The results of the overlay were processed using the algorithm LINE with parameters such as the radius of the filter in pixels (RADI) 60, the threshold for edge gradient (GTHR) 120, the threshold for the curve length (LTHR) 100, the threshold for line fitting error (FTHR) 3, threshold for angular (ATHR) 30, and the threshold for linking distance (DTHR) 100. Vector lineament data from LINE algorithm process then performed density analysis to obtain lineament density zoning. Results from the study showed that the area has a high density lineament associated with mineral potency, so it was useful for exploration activities to minimize the survey area.

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11

TSUCHIDA, Satoshi, Yasushi YAMAGUCHI, and Hirokazu HASE. "Size distribution in the process of lineament extraction." Journal of the Japan society of photogrammetry and remote sensing 28, no. 2 (1989): 4–13. http://dx.doi.org/10.4287/jsprs.28.2_4.

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12

IWASHITA, Atsushi, Haruhisa SHIMODA, and Toshibumi SAKATA. "An optimization of lineament extraction using TM data." Journal of the Japan society of photogrammetry and remote sensing 30, no. 2 (1991): 17–24. http://dx.doi.org/10.4287/jsprs.30.2_17.

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13

Al-Nahmi, F., O. B. Alami, L. Baidder, K. Khanbari, H. Rhinane, and A. Hilali. "USING REMOTE SENSING FOR LINEAMENT EXTRACTION IN Al MAGHRABAH AREA - HAJJAH, YEMEN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W1 (October 26, 2016): 137–42. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w1-137-2016.

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Remote sensing and GIS data have become more and more important for the study of geology, structural geology and extract of lineament which give us an overview of the tectonic events. The main objective of our study is to design a method for extracting and mapping of lineament from Landsat 8_OLI satellite images of the study area. Different processing techniques were used to achieve our objective : MNF Minimum Noise Fraction bands (4,5,6), Color composites (7,5,3), PCA Principal Component Analysis bands (4,5,7), band ratios (7/5,6/4,4/2), directional filters, and image processing applied on the Landsat 8_OLI composite colours. The results of this study indicate that, the area is really affected by several structural trends: N-S, NW–SE, and NE–SW directions. The result of lineament analysis gives us a good interpretation of the main structural geology and tectonic forces.

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14

Al Hseinat, Mu’ayyad, Abdulla Al-Rawabdeh, Malek Al-Zidaneen, Hind Ghanem, Masdouq Al-Taj, Abdullah Diabat, Ghaleb Jarrar, and Mohammad Atallah. "New Insights for Understanding the Structural Deformation Style of the Strike-Slip Regime along the Wadi Shueib and Amman-Hallabat Structures in Jordan Based on Remote Sensing Data Analysis." Geosciences 10, no. 7 (July 2, 2020): 253. http://dx.doi.org/10.3390/geosciences10070253.

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This paper presents new findings that contribute to the understanding of the deformational style of the Wadi Shueib Structure (WSS) and the Amman-Halabat Structure (AHS) and their relationship with the regional tectonic regime of the Dead Sea Transform Fault (DSTF). Our research utilized Landsat-8 OLI imagery for the automatic extraction of lineaments, and our lineament mapping was facilitated by processing and digital image enhancement using principal component analysis (PCA). Our data revealed a relatively higher density of lineaments along the extension of the major faults of the WSS and AHS. However, a relatively lower density of lineaments was shown in areas covered by recent deposits. Two major lineament trends were observed (NNE-SSW and NW-SE) in addition to a minor one (NE-SW), and most of these lineaments are parallel to the orientation of the WSS and AHS. We offer the supposition that the DSTF has merged into the major faults of the WSS and AHS. We further suppose that these faults were reactivated as a restraining bend composed of active strike-slip fault branches that developed due to the NNW-SSE-trending Dead Sea transpressional stress field. Depending on the relationship between the direction of the WSF and AHF strands and the regional tectonic displacement along the DSTF, thrust components are present on faults with horsetail geometry, and these movements are accompanied by folding and uplifting. Thus, the major faults of the WSS and AHS represent a contractional horsetail geometry with associated folding and thrusting deformation.

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Choanji, Tiggi, Yuniarti Yuskar, Dewandra BE Putra, Catur Cahyaningsih, and Winanda Sakti. "Clustering Slope Stability from Using Drone, DEM Lineament Extraction And Rock Mass Rating In Pangkalan Koto Baru, West Sumatra, Indonesia." Journal of Applied Geospatial Information 2, no. 2 (September 17, 2018): 124–29. http://dx.doi.org/10.30871/jagi.v2i2.880.

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Clustering slope stability in the Pangkalan Koto Baru, West Sumatra has become one of priority in disaster management. The method used for this study are using the combination of structural lineament analysis, scanline with window sampling and Rock mass rating (RMR) calculations. The analysis results of the fourteen observed slope sites showed significant outcome, which seen in the structural lineament show dominant trend from northwest-southeast, which also correlate from the measurement of discontinuity by using scanline with window sampling. From RMR calculation, value showed range between 17 - 42 which belonged to class V (Very Poor Rock) - class III (Medium Rock ). Integration data of structural lineament, scanline method and RMR analysis suggested that 1 slope included in the very poor rock category, 12 slopes are poor rock category, and 1 slope in the medium rock category. So, it can be ascertained that most of the slopes will potentially be prone to landslides. Keywords: Slope Stability, RMR, Structural Lineament, Pangkalan Koto Baru, West Sumatra.

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MASUDA, Shoichi, Takaaki TOKUO, Tsutomu ICHINOSE, Kenji OTANI, and Toshikazu UCHI. "Expert System for Lineament Extraction from Optical Sensor Data." Geoinformatics 2, no. 2 (1991): 195–200. http://dx.doi.org/10.6010/geoinformatics1990.2.2_195.

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IWASHITA, Atsushi, Haruhisa SHIMODA, and Toshibumi SAKATA. "Quantitative evaluation of lineament extraction potential using TM data." Journal of the Japan society of photogrammetry and remote sensing 31, no. 5 (1992): 22–35. http://dx.doi.org/10.4287/jsprs.31.5_22.

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Ogunmola, J. K., E. A. Ayolabi, and S. B. Olobaniyi. "Lineament Extraction from SPOT 5 and NigeriaSat-X Imagery of the Upper Benue Trough, Nigeria." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 323–30. http://dx.doi.org/10.5194/isprsarchives-xl-1-323-2014.

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The Upper Benue Trough is part of the Benue Trough of Nigeria and is comprised of three basins: the east–west trending Yola Basin (Yola Arm), the north–south trending Gongola Basin (Gongola Arm) and the northeast–southwest trending Lau Basin (Main Arm). This research is an ongoing research at understanding the structural framework of the Upper Benue Trough using several techniques including the use of Remote Sensing and GIS. Several digital image enhancement techniques such as general contrast stretching and edge enhancement were applied to the NigeriaSat-X and SPOT 5 image in ERDAS IMAGINE 9.2 after which structures were mapped out on-screen using ArcMap 10. The Digital Elevation Model (DEM) of the Trough was also used to enhance geomorphic features. The analysis carried out on the images revealed that lineaments are abundant in the Upper Benue Trough and they can be subdivided into four major trends, NE–SW, NW–SE, W–E and N–S in order of abundance and range in length from about 300 m to 26 km. Several faults were also mapped out within the Basin such as a sinistral fault around Bakoreji village in Bauchi, a dextral fault close to Kalmai town in Gombe and a dextral fault close to Wong in Taraba. It was discovered that some of the sites where minerals such as lead and zinc ores are being mined occur in the zones of high lineament density. This study shows the capability of the DEM, SPOT 5 and NigeriaSat-X images for lineament/structural interpretations.

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Tripathi, N. K., K. V. G. K. Gokhale, and M. U. Siddiqui. "Directional morphological image transforms for lineament extraction from remotely sensed images." International Journal of Remote Sensing 21, no. 17 (January 2000): 3281–92. http://dx.doi.org/10.1080/014311600750019895.

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20

Farah, Abdelouhed, Ahmed Algouti, Abdellah Algouti, Kamal El badaoui, Maryam Errami, and Mohammed Ifkirne. "Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, Morocco." E3S Web of Conferences 240 (2021): 04002. http://dx.doi.org/10.1051/e3sconf/202124004002.

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Lithological and lineament mapping using remote sensing is a fundamental step in various geological studies, as it forms the basis for the interpretation and validation of the results obtained. There were two objectives for this study, applied in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech region: first, lithological mapping by satellite image processing techniques such as ASTER L1B (hight spectral and spatial resolution), namely Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), as well as the application of three types of supervised classification, namely Spectral Angle Mapper (SAM), Maximum Likelihood (ML) and Minimum Distance (MD), on the visible/near-infrared (VNIR) and short-wave infrared (SWIR) spectral bands of our ASTER image; second, an analysis of the distribution of lineaments by automatic extraction using a Global Digital Elevation Model (GDEM) and the PC1 image derived from the PCA transformation applied to the satellite image. The best results are highlighted by the delineation of new facies in relation to the existing map; after confirmation in the field, all of these facies, which include Eocene, Triassic and Jurassic formations, are represented on the new map. The results of lineaments showed that each of them systematically shows a similarity in terms of concentration and orientation, with four preferential oriented systems: NE-SW, E-W, NNE-SSW and NW-SE. The lineaments mainly follow those of the major fault zones, with high concentrations in the northeast and southwest parts of the study area.

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Dutta, P. K. "Image Segmentation Based Approach for the Purpose of Developing Satellite Image Spatial Information Extraction for Forestation and River Bed Analysis." International Journal of Image and Graphics 19, no. 01 (January 2019): 1950002. http://dx.doi.org/10.1142/s0219467819500025.

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Classification of remote sensing spatial information from multi spectral satellite imagery can be used to obtain multiple representation of the image and capture different structure lineaments. Pixels are grouped using clustering and morphology based segmentation for region based spatial information. This is used to calculate the spatial features of the contiguous regions by classifying the region into the statistics of the pixel properties. In the proposed work, analysis of Google Earth images for identification of morphological patterns of the river flow is done for remote sensing image using graph-cuts. Multi-temporal satellite images acquired from Google Earth to identify the digital elevation is used to formulate the energy function from images to compare the displacement in pixel value using similarity measure. A method is proposed to solve non-rigid image transformation via graph-cuts algorithm by modeling the registration process as a discrete labeling problem. A displacement vector associated to each pixel in the source image indicates the corresponding position in the moving image. The transformation matrix produced from change in the intensity of the pixels for a region is then optimized for energy minimization by using the graph-cuts algorithm and demon registration technique. The proposed study enhances the advantages of regional segmentation in order to know homogeneous areas for optimal image segmentation and digital footprints for change in the river bed patterns by identifying the change in LANDSAT data from temporal satellite images. By applying the proposed multi-level registration method, the number of labels used in each level is greatly reduced due to lower image resolution being used in coarser levels. The results demonstrate that the lineament detection for better accuracy compared to traditional sources of lineament identification methods. It has provided better geotectonic understanding of Cudappah rock in Ahobhilam with Quartzite. The imprints of Eastern Ghat orogeny are seen in upper stream section through a graph cut based segmentation approach.

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Raghavan, Venkatesh, Kiyoshi Wadatsumi, and Shinji Masumoto. "Automatic extraction of lineament information from satellite images using digital elevation data." Nonrenewable Resources 2, no. 2 (June 1993): 148–55. http://dx.doi.org/10.1007/bf02272811.

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23

Azaiez, Hajer, Hakim Gabtni, Imen Bouyahya, Dorra Tanfous, and Mourad Bedir. "Lineaments Extraction from Gravity Data by Automatic Lineament Tracing Method in Sidi Bouzid Basin (Central Tunisia): Structural Framework Inference andHydrogeological Implication." International Journal of Geosciences 02, no. 03 (2011): 373–83. http://dx.doi.org/10.4236/ijg.2011.23040.

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Ivanov, K. S., N. P. Kostrov, and A. E. Stepanov. "Tectonics and deep structure of Yugan-Koltogor zone of West Siberia Platform foundation." LITOSFERA, no. 1 (March 17, 2019): 162–75. http://dx.doi.org/10.24930/1681-9004-2019-19-1-162-175.

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Research subject. The deep structure of the Yugan-Koltogor zone located in West Siberia was investigated with the purpose of detecting prospective oil and gas bearing areas.Materials and methods. The methods of lineament extraction and the computer modelling of rock density were employed. Lineament extraction was conducted on the basis of geophysical data, including detailed (1 : 200 000) maps of anomalous magnetic and gravity fields. In order to detect faults, telemetering methods were used, along with the results of studies conducted to investigate core materials from wells in the region. The modelling of the deep structure of the pre-Jurassic basement was performed on the basis of its geological map by solving a direct problem while fitting geological body densities.Results. Six largest faults of the Yugan-Koltogor zone identified on the geological map by a special sign “deep faults and regional schistosity zones” are of particular interest as possible oil bearing areas.Conclusions. The modelling of the deep structure of the pre-Jurassic basement of the West Siberian Platform has shown the granite decompaction areas of the Yugan zone to be highly promising in terms of oil and gas deposits.

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Mohammadpour, M., A. Bahroudi, and M. Abedi. "Automatic Lineament Extraction Method in Mineral Exploration Using CANNY Algorithm and Hough Transform." Geotectonics 54, no. 3 (May 2020): 366–82. http://dx.doi.org/10.1134/s0016852120030085.

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Ghosh, Swakangkha, Thota Sivasankar, and Gokul Anand. "Performance evaluation of multi-parametric synthetic aperture radar data for geological lineament extraction." International Journal of Remote Sensing 42, no. 7 (December 31, 2020): 2574–93. http://dx.doi.org/10.1080/01431161.2020.1856963.

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Bety, Azhar, Basim Al-Qayim, and Hikmat Al-Daghistani. "Extraction and Analysis of Tectonic Lineaments using Geoinformatic Techniques, in Tawke Oil Field, Duhok area, Iraqi Kurdistan Region." Journal of Zankoy Sulaimani - Part A GeoKurdistan II, Special issue (April 15, 2016): 27–37. http://dx.doi.org/10.17656/jzs.10469.

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Carvalho, Diogo Luiz Órphão de, Roberta Mary Vidotti, José Oswaldo de Araújo Filho, and Paulo Roberto Meneses. "GEOLOGY, AIRBORNE GEOPHYSICS AND GROUND GRAVITY OF THE CENTRAL GRABEN OF ÁGUA BONITA, BRAZIL." Revista Brasileira de Geofísica 30, no. 4 (December 1, 2012): 483. http://dx.doi.org/10.22564/rbgf.v30i4.235.

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Há mais de meio século a utilização de dados geofísicos representa importante ferramenta auxiliar nas pesquisas em geociências. Dentre outras características, tais produtos facilitam a discriminação de feições estruturais, ajudam a caracterização de corpos geológicos em subsuperfície e permitem a delimitação de domínios geofísicos com correspondentes geológicos. O Graben de Água Bonita, localizado nos estados de Goiás e Tocantins, foi definido na metade da década de 60 do século XX como uma estrutura de 80 km por 7 km, com bordas paralelas e retilíneas de direção N35-40◦E. O conhecimento desta estrutura restringe-se ao mapeamento geológico, inexistindo dados em profundidade. O presente trabalho trata da interpretação de dados aerogeofísicos do Levantamento Geofísico Brasil-Canadá (PGBC); aquisição e interpretação de dados gravimétricos terrestres visando contribuir ao conhecimento geológico-estrutural do Graben de Água Bonita, situado no contexto do Lineamento Transbrasiliano. A interpretação qualitativa e quantitativa dos dados geofísicos e geológicos originada de modelagem 2D, sugere que o Graben de Água Bonita inclina-se para oeste, devido às baixas anomalias e ao mergulho das sequências sedimentares detríticas. Esta inclinação evidencia que o depocentro da Formação Água Bonita localiza-se a aproximadamente 4 km de profundidade a oeste do limite superficial desta Formação. ABSTRACT: For over half a century geophysical data is an important auxiliary tool used in geosciences research. Among other features, these products facilit at ethe discrimination of structural features, aid the characterization of subsurface geological bodies and allow the delimitation of areas with corresponding geophysica land geological data. The Água Bonita Graben (GAB), which straddles the border of Goiás and Tocantins states, was defined in the mid-60s as an 80-km long by 7-km wide structure, with parallel, straight borders towards N35-40◦E. This paper presents an interpretation of the geophysical data obtained by the the Geophysical Survey Brazil-Canada (Programa de Levantamentos Geofísicos Brasil-Canadá, PGBC), as well as acquisition and interpretation of ground gravity data aiming at improving the geological knowledge of the Água Bonita Graben, situated in the Transbrasilian Lineament. The PGBC geophysical data allowed the extraction of lineaments and geophysical delineation of the GAB limits. The 2D model suggests that the Água Bonita Graben leans to the west, due to the observed low gravity anomaly values and inclined detrital sedimentary sequences dipping 8◦-12◦, in the direction 300◦ to 330◦, suggesting that the depocenter of the Água Bonita Formation is near by the western edge of the graben.Keywords: ground gravity, Água Bonita Graben, Transbrasilian Lineament.

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Mahbub, Rizqi Muhammad, and Candra Ragil. "Identifikasi Deformasi Tektonik Aktif Berdasarkan Ekstraksi Kelurusan Morfologi dan Seismisitas di Sukabumi, Jawa Barat." EKSPLORIUM 42, no. 1 (May 31, 2021): 31. http://dx.doi.org/10.17146/eksplorium.2021.42.1.6139.

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ABSTRAK Pusat gempa bumi di Sukabumi telah membentuk deformasi bawah permukaan dan kini terekam juga di permukaan. Hal itu termanifestasi melalui geomorfologi kelurusan gawir dan sungai. Ekstraksi kelurusan-kelurusan akibat deformasi geologi tersebut dapat digunakan untuk mengidentifikasi deformasi tektonik aktifnya. Tujuan penelitian ini adalah untuk mengetahui hubungan antara struktur sesar aktif dengan arah dominan kelurusan di daerah penelitian. Metode Edge Enhancing Filtering digunakan untuk menginterpretasi kelurusan secara manual dan semi-otomatis. Data geospasial kelurusan diekstraksi menggunakan formula Sastratenaya untuk mengetahui kronologi kelurusan yang terbentuk. Hasil analisis menggunakan formula Sastratenaya menunjukkan kelurusan-kelurusan yang terekam melalui olah data peta DEM, yaitu segmen 1 berarah N315°E dan segmen 2 berarah N10°E yang diinterpretasikan sebagai hasil reaktivasi sesar. Hal ini dapat diinterpretasikan bahwa Sesar Cimandiri, yang merupakan sesar aktif dengan pergerakan oblique-slip sinistral N88°E/85° rake 33°, memengaruhi arah dua segmen kelurusan di daerah penelitian wilayah Sukabumi, Jawa Barat.ABSTRACT The epicenter of the earthquake in Sukabumi has formed subsurface deformation which is now also recorded on the surface area. This is manifested through the geomorphology of the scarp and river lineaments. Extraction of lineaments produced by geological deformation can be used to identify its active tectonic deformation. The research objective is to determine the relationship between the active fault structure and the dominant direction of lineaments in the study area. The Edge Enhancing Filtering method is used to interpret lineaments manually and semi-automatically. The lineament geospatial data was extracted using the Sastratenaya formula to determine the chronology of the lineaments formed. The Sastratenaya formula results showed the lineaments recorded by DEM images data processing, the first segment direction is N315°E and the second is N10°E, both are interpreted as the result of fault reactivation. It can be interpreted that the Cimandiri Fault, which is an active fault that has an N88°E/85° rake 33° sinistral oblique-slip fault movement, affects the lineaments direction of two segments in the research area of Sukabumi, West Java.

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Raj.S, Kiran, and S. A. Ahmed. "Lineament Extraction from Southern Chitradurga Schist Belt using Landsat TM, ASTERGDEM and Geomatics Techniques." International Journal of Computer Applications 93, no. 12 (May 16, 2014): 12–20. http://dx.doi.org/10.5120/16266-5993.

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Oh, Jeong-Sik. "Extraction of Lineament and Its Relationship with Fault Activation in the Gaeum Fault System." JOURNAL OF THE GEOMORPHOLOGICAL ASSOCIATION OF KOREA 26, no. 2 (June 30, 2019): 69–84. http://dx.doi.org/10.16968/jkga.26.2.69.

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Raghavan, Venkatesh, Shinji Masumoto, Katsuaki Koike, and Shuichi Nagano. "Automatic lineament extraction from digital images using a segment tracing and rotation transformation approach." Computers & Geosciences 21, no. 4 (May 1995): 555–91. http://dx.doi.org/10.1016/0098-3004(94)00097-e.

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Raghavan, Venkatesh, Kiyoshi Wadatsumu, and Shinji Masumoto. "Smiles: a fortran-77 program for sequential machine interpreted lineament extraction using digital images." Computers & Geosciences 20, no. 2 (March 1994): 121–59. http://dx.doi.org/10.1016/0098-3004(94)90003-5.

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Abdul-Hussein, M. Hussein Kadhim, and Assist prof Dr Ahmed Abdel Sattar Al-Athari. "The estimation the size of erosion in the Merka Sur valley In Erbil." ALUSTATH JOURNAL FOR HUMAN AND SOCIAL SCIENCES 226, no. 2 (September 1, 2018): 365–88. http://dx.doi.org/10.36473/ujhss.v226i2.68.

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The study aims to study the estimation the size of erosion in the Merka Sur valley , that located in Erbil in northern of Iraq as part of simple torsion mountain region (1000 - 2100) m , with a basin area (162.1 km2). The researchers used remote sensing technology (RS) from the US Landsat L8 OLI to Lineament Extraction, the Digital Elevation Model (DEM) for topographic analysis (elevation and slope) , hydrological analysis (river drainage system), GIS, For mapping and engineering analysis within the Arc GIS 10.3 environment The results shows natural characteristics: Lithological, soil and natural plant, as well as identify the spatial distribution of these characteristics. Lineament a role in determining the type of erosion within their presence as in the western side of the valley. Where there a heavily Lineament that motivate the presence of the groove erosion , despite its presence in the resistance to erosion configurations like (formation of Qmjoukh , Aqra – Bkhme). The slope of the gradient plays an important role in determining the type of erosion. In steep slopes (18-50 degrees) stimulates the gully erosion type , while simple slopes (1 - 18 degrees) Sheet erosion. The results showed that the number and the total length of valleys within the upper ranks of river (the first, second, third) have a role in the degree of erosion within the erosion rates by Bergsma equation , Finally, The height factor and vegetation density were found to play a role in erosion and reduce wind erosion within the region.

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Sharifi, Adel, Abbass Malian, and Abolfazl Soltani. "Efficiency Evaluating of Automatic Lineament Extraction by Means of Remote Sensing (Case Study: Venarch, Iran)." Journal of the Indian Society of Remote Sensing 46, no. 9 (July 9, 2018): 1507–18. http://dx.doi.org/10.1007/s12524-018-0798-7.

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Šilhavý, Jakub, Jozef Minár, Pavel Mentlík, and Ján Sládek. "A new artefacts resistant method for automatic lineament extraction using Multi-Hillshade Hierarchic Clustering (MHHC)." Computers & Geosciences 92 (July 2016): 9–20. http://dx.doi.org/10.1016/j.cageo.2016.03.015.

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Hashim, Mazlan, Samsudin Ahmad, Mohd Amin Md Johari, and Amin Beiranvand Pour. "Automatic lineament extraction in a heavily vegetated region using Landsat Enhanced Thematic Mapper (ETM+) imagery." Advances in Space Research 51, no. 5 (March 2013): 874–90. http://dx.doi.org/10.1016/j.asr.2012.10.004.

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Zlatopolsky, Alexandre A. "Program LESSA (Lineament Extraction and Stripe Statistical Analysis) automated linear image features analysis—experimental results." Computers & Geosciences 18, no. 9 (October 1992): 1121–26. http://dx.doi.org/10.1016/0098-3004(92)90036-q.

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Mathew, T. G., and K. S. Ariffin. "Remote Sensing Technique for Lineament Extraction in Association with Mineralization Pattern in Central Belt Peninsular Malaysia." Journal of Physics: Conference Series 1082 (August 2018): 012092. http://dx.doi.org/10.1088/1742-6596/1082/1/012092.

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Liu, Xiao Li, Xue Li, Jing Gang Li, and Qiu Liang Wang. "Extraction and Application of Water System and Physiognomy Morphological Characteristics Based on DEM in ArcGIS Environment." Advanced Materials Research 807-809 (September 2013): 1940–43. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.1940.

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The Ms 7.0 Lushan earthquake triggered thousands of landslides. The main purpose of this paper is to present the use of the ASTER GDEM data, an incomplete landslide triggering factors of the M7.0 Lushan earthquake of China based on the ArcGIS platform and the DEM (Digital Elevation Models) technology. The sources of DEM are various. This paper discusses the prevalent DEM data source-ASTER GDEMs characteristic and applying GDEM data on extraction of water system and terrain characteristics of geological disasters using ArcGIS Hydro Tools package. A comprehensive quantitative analysis of the terrain parameters are performed such as elevation, slope, contour, drainage pattern, and thematic maps of geology and geomorphology lineament. These parameters are required as input to applications such as landslide susceptibility analysis.

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Salui, Chalantika Laha. "Methodological Validation for Automated Lineament Extraction by LINE Method in PCI Geomatica and MATLAB based Hough Transformation." Journal of the Geological Society of India 92, no. 3 (September 2018): 321–28. http://dx.doi.org/10.1007/s12594-018-1015-6.

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Epuh, Emeka E., Chukwuma J. Okolie, Olagoke E. Daramola, Funmilola S. Ogunlade, Funmilayo J. Oyatayo, Samuel A. Akinnusi, and Eno-Obong I. Emmanuel. "An integrated lineament extraction from satellite imagery and gravity anomaly maps for groundwater exploration in the Gongola Basin." Remote Sensing Applications: Society and Environment 20 (November 2020): 100346. http://dx.doi.org/10.1016/j.rsase.2020.100346.

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Ganguly, Kuntal, and Tarik Mitran. "Delineation and assessment of Central Indian Suture through lineament extraction approach using Remote Sensing and Geographic Information System." Geocarto International 31, no. 3 (June 2015): 308–27. http://dx.doi.org/10.1080/10106049.2015.1047417.

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NAKAO, Daiki, Shinji MASUMOTO, and Tatsuya NEMOTO. "Development of Lineament Extraction Method based on Topography Characteristics and Segment Tracing Algorithm (STA) using Digital Elevation Model." Geoinformatics 30, no. 3 (September 25, 2019): 87–100. http://dx.doi.org/10.6010/geoinformatics.30.3_87.

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Zoheir, Basem, Ashraf Emam, Mohamed Abdel-Wahed, and Nehal Soliman. "Multispectral and Radar Data for the Setting of Gold Mineralization in the South Eastern Desert, Egypt." Remote Sensing 11, no. 12 (June 18, 2019): 1450. http://dx.doi.org/10.3390/rs11121450.

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Satellite-based multi-sensor data coupled with field and microscopic investigations are used to unravel the setting and controls of gold mineralization in the Wadi Beitan–Wadi Rahaba area in the South Eastern Desert of Egypt. The satellite-based multispectral and Synthetic Aperture Radar (SAR) data promoted a vibrant litho-tectonic understanding and abetted in assessing the regional structural control of the scattered gold occurrences in the study area. The herein detailed approach includes band rationing, principal component and independent component analyses, directional filtering, and automated and semi-automated lineament extraction techniques to Landsat 8- Operational Land Imager (OLI), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Phased Array L-band Synthetic Aperture Radar (PALSAR), and Sentinel-1B data. Results of optical and SAR data processed as grayscale raster images of band ratios, Relative Absorption Band Depth (RBD), and (mafic–carbonate–hydrous) mineralogical indices are used to extract the representative pixels (regions of interest). The extracted pixels are then converted to vector shape files and are finally imported into the ArcMap environment. Similarly, manually and automatically extracted lineaments are merged with the band ratios and mineralogical indices vector layers. The data fusion approach used herein reveals no particular spatial association between gold occurrences and certain lithological units, but shows a preferential distribution of gold–quartz veins in zones of chlorite–epidote alteration overlapping with high-density intersections of lineaments. Structural features including en-echelon arrays of quartz veins and intense recrystallization and sub-grain development textures are consistent with vein formation and gold deposition syn-kinematic with the host shear zones. The mineralized, central-shear quartz veins, and the associated strong stretching lineation affirm vein formation amid stress build-up and stress relaxation of an enduring oblique convergence (assigned as Najd-related sinistral transpression; ~640–610 Ma). As the main outcome of this research, we present a priority map with zones defined as high potential targets for undiscovered gold resources.

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Qari, Mohammed H. T. "Lineament extraction from multi-resolution satellite imagery: a pilot study on Wadi Bani Malik, Jeddah, Kingdom of Saudi Arabia." Arabian Journal of Geosciences 4, no. 7-8 (January 27, 2010): 1363–71. http://dx.doi.org/10.1007/s12517-009-0116-3.

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Babu, Md Abu Hamjalal, Md Risadul Islam, Fahim Farzana, Muhammad Jasim Uddin, and Md Sirajul Islam. "Application of GIS and Remote Sensing for Identification of Groundwater Potential Zone in the Hilly Terrain of Bangladesh." Grassroots Journal of Natural Resources 3, no. 3 (September 15, 2020): 16–27. http://dx.doi.org/10.33002/nr2581.6853.03032.

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Groundwater is the most significant assets on the planet and is declining continuously. The integration of GIS system and remote sensing turned into substantial tools in the field of subsurface water study, which assists in surveying, observing and monitoring the groundwater capitals. With this backdrop, using GIS and remote sensing application, a study was conducted to identify the potential groundwater zones in the hilly district Khagrachhari. The ground water potential zones were identified based on different thematic maps such as drainage, density, lineament density, slope, land use or land cover, soil and geology by using weighted overlay analysis. The groundwater potential zones were investigated orderly into four classes known as poor, moderate, good and very good. This groundwater potential information will work as a guideline to the concerned local authority to identify effectively the suitable locations for the extraction of groundwater.

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Liu, T., H. Yan, and L. Zhai. "Extract relevant features from DEM for groundwater potential mapping." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W4 (June 26, 2015): 113–19. http://dx.doi.org/10.5194/isprsarchives-xl-7-w4-113-2015.

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Multi-criteria evaluation (MCE) method has been applied much in groundwater potential mapping researches. But when to data scarce areas, it will encounter lots of problems due to limited data. Digital Elevation Model (DEM) is the digital representations of the topography, and has many applications in various fields. Former researches had been approved that much information concerned to groundwater potential mapping (such as geological features, terrain features, hydrology features, etc.) can be extracted from DEM data. This made using DEM data for groundwater potential mapping is feasible. In this research, one of the most widely used and also easy to access data in GIS, DEM data was used to extract information for groundwater potential mapping in batter river basin in Alberta, Canada. First five determining factors for potential ground water mapping were put forward based on previous studies (lineaments and lineament density, drainage networks and its density, topographic wetness index (TWI), relief and convergence Index (CI)). Extraction methods of the five determining factors from DEM were put forward and thematic maps were produced accordingly. Cumulative effects matrix was used for weight assignment, a multi-criteria evaluation process was carried out by ArcGIS software to delineate the potential groundwater map. The final groundwater potential map was divided into five categories, viz., non-potential, poor, moderate, good, and excellent zones. Eventually, the success rate curve was drawn and the area under curve (AUC) was figured out for validation. Validation result showed that the success rate of the model was 79% and approved the method’s feasibility. The method afforded a new way for researches on groundwater management in areas suffers from data scarcity, and also broaden the application area of DEM data.

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Karim, Hawber A., and Diary A. Al-Manmi. "Integrating GIS-based and geophysical techniques for groundwater potential assessment in Halabja Said Sadiq sub-basin, Kurdistan, NE Iraq." Tikrit Journal of Pure Science 24, no. 6 (November 3, 2019): 81. http://dx.doi.org/10.25130/j.v24i6.891.

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Groundwater is an important resource in Halabja Said Sadiq sab-basin, Sulaymaniyah district for agricultural and other uses. Continuous dramatic extraction of groundwater from legal and illegal wells led to a severe decline in the water table for the last thirty years. The objectives of this study are to delineate the groundwater productivity zones by combining the geographic information system and geoelectrical survey, which serves to recognize the locations of good groundwater storage and recharge zones. The Halabja Said Sadiq sub-basin has been selected as a case study to delineate the groundwater productivity zones. Four geoelectrical resistivity profiles conducted with electrode spacing 10 m and the length of the profiles is equal to 710 m. Themes such as hydrogeology, land use/land cover, topography, drainage density, soil type, slope, lineaments and rainfall maps are created. The thematic maps made with GIS platform and appropriate weights put to the attributes taking into account the influence on the storage potential of groundwater. The results of geoelectrical profiles revealed that the aquifer thickness is 150 m. Three zones of groundwater potential delineated which are low, moderate and high and cover 33 %, 24 %, and 42 % of the total area respectively. Spatially, the highest zone is located along with the Quaternary deposits which characterized by high lineament density, low slop, and pediment deposition The output of the groundwater potential model is verified by testing the discharge rate of the existing 580 wells. The results are revealed that most of the high yield wells are located within the high groundwater potential zone. Results of such verifications proved that the groundwater productivity areas recognized by GIS (AHP) and geoelectrical techniques are dependable and practical. http://dx.doi.org/10.25130/tjps.24.2019.112

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Freires, Eduardo Viana, Cláudio Ângelo da Silva Neto, Cynthia Romariz Duarte, César Ulisses Vieira Veríssimo, Daniel Dantas Moreira Gomes, Antônio Edilson Pereira De Souza, and Maykon Targino da Silva. "Influência de lineamentos estruturais no desencadeamento dos movimentos de massa no maciço de Uruburetama, Ceará." Revista Brasileira de Geografia Física 13, no. 3 (June 1, 2020): 1294. http://dx.doi.org/10.26848/rbgf.v13.3.p1294-1308.

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A disposição de estruturas geológicas em áreas planálticas é elemento importante na compreensão da dinâmica que ocorre na superfície de suas encostas e que é responsável pela esculturação do relevo. Neste contexto destacam-se os movimentos gravitacionais, que podem gerar perdas econômicas, ambientais e humanas em eventos de alta energia e/ou com grande extensão. Esta pesquisa analisou a influência de lineamentos estruturais no desencadeamento dos movimentos gravitacionais no maciço de Uruburetama, localizado no estado do Ceará. A metodologia consistiu na extração automática de lineamentos a partir do Modelo Digital de Elevação (MDE) fornecido pelo sensor orbital ALOS PALSAR. A partir da média de filtros direcionais aplicados a 0°, 45°, 90° e 135° de iluminação foi possível realçar as feições lineares da imagem original, facilitando sua extração. Posteriormente, foram elaborados mapas de distribuição espacial e densidade de lineamentos, além de diagrama de roseta. Tais produtos subsidiaram a análise da disposição dos principais trends estruturais da área, destacando que a maior densidade e a orientação predominante de lineamentos podem ser indicativas do grau de susceptibilidade à ocorrência de movimentos de massa no maciço de Uruburetama, desde que também sejam consideradas as características físicas dominantes e o grau de intervenção humana nas encostas. Os resultados demonstraram que os lineamentos estruturais obtidos de forma automática, quando analisados em conjunto com as características ambientais podem ser aplicados na análise de susceptibilidade à ocorrência de movimentos de massa. Influence of structural lineaments as a trigger of mass movements in the Uruburetama massif, Ceará state, Brazil A B S T R A C TThe geological structures arrangement in plateau areas is an important element in understanding the dynamics that occur on the surface of their slopes and which is responsible for relief sculpting. In this context, gravitational movements stand out, which can generate economic, environmental and human losses in high energy events and / or with large extension. This research analyzed the influence of structural lineaments in the gravitational movements triggering in the Uruburetama massif, located in the state of Ceará. The methodology consisted of automatic extraction of lineaments from the Digital Elevation Model (DEM) provided by the ALOS PALSAR orbital sensor. From the average of directional filters applied at 0°, 45°, 90° and 135° of illumination it was possible to enhance the linear features of the original image, facilitating their extraction. Subsequently, maps of spatial distribution and lineaments density were developed, as well as a rosette diagram. Such products subsidized the analysis of the disposition of the main structural trends of the area, emphasizing that the higher density and the predominant orientation of lineaments may be indicative of the degree of susceptibility to the occurrence of mass movements in the Uruburetama massif, if the dominant physical conditions and the degree of human intervention on the slopes are also considered. The results showed that the structural lineaments obtained automatically, when analyzed together with the environmental characteristics can be applied in the susceptibility analysis to the occurrence of mass movements.Keywords: ALOS PALSAR, directional filters, image fusion, lineaments extraction

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