Discontinuity mapping with automatic lineament extraction from high resolution satellite imagery

Mining Engineering Department, Inonu Bulvari, 06531, METU, Ankara, Turkey; METU, Geodetic and Geographic Information Technologies, Turkey

ABSTRACT In this study, automatic lineament analysis is performed by using high resolution satellite imagery for identification of rock discontinuities. A case study area is selected as an Andesite mine area in Gölbaı, Ankara, Turkey. For the high resolution data 8-bit Ikonos Precision Plus with 1 meter resolution orthorectified image is used. The image data contain three bands as blue, green, red as band 1, band 2 and band 3, respectively. Then an additional band (fourth band) for the image is assigned by obtaining the average of the three bands. The automatic lineament extraction process is carried out with LINE module of PCI Geomatica v8.2. In order to determine the most accurate parameters of LINE, an accuracy assessment is carried out. To be the reference of the output, manual lineament extraction with directional filtering in four principal directions (N-S, E-W, NE-SW, NW-SE) is found to be the most suitable method. For the comparison of automatic lineament extraction and manual lineament extraction processes, total length and number of lineaments and directional analyses are carried out by constructing the rose diagrams. Besides these, field studies and previous studies carried out in the study area are also taken into consideration. After the accuracy assesssment, final parameters of automatically extracted lineaments are determined. The lineament map produced in this study is found to be a very efficient in mapping the discontinuities for mining applications in terms of cost and time effectiveness.

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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 fil-tering and object-based classification provides a lineament map with a high degree of accuracy. Subsequently, linea-ments 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 be-tween lineaments and wells provides an assessment criterion to evaluate the hydraulic significance of detected lineaments. Based on this analysis, we suggest that the statistical analy-sis of lineaments allows a delineation of flow-paths and thus significant information on groundwater movements. To val-idate the flow-paths we compare them to existing results of groundwater models that are based on well data.
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    ABSTRACT: This paper presents an overview of the use of lineaments in landslide hazard mapping. The lineaments are normally derived either from aerial photographs or satellite imagery. The relative advantages and disadvantages of digital image processing and manual (visual) lineament interpretation are discussed. Most researchers prefer the manual technique, despite the fact it is more time-consuming and subjective, as it allows a higher degree of operator control. Ways of increasing objectivity in the interpretation are suggested. It is hoped that lineament mapping will increasingly be incorporated in landslide hazard assessment hence the paper emphasizes the need for care and a proper understanding of these methods and their limitations. L’article présente une revue sur l’utilisation des linéaments pour la cartographie de l’aléa de glissement de terrain. Les linéaments sont normalement obtenus à partir de photographies aériennes ou d’images satellitaires. Les avantages et inconvénients des traitements numériques des images et des interprétations manuelles (visuelles) des linéaments sont discutés. La plupart des chercheurs préfèrent les techniques manuelles, malgré le fait qu’elles sont longues et subjectives, considérant qu’elles permettent un meilleur contrôle par l’opérateur. Des moyens d’améliorer l’objectivité dans l’interprétation sont suggérés. On peut espérer que la cartographie de linéaments sera incorporée de façon plus importante dans l’évaluation des aléas de glissement de terrain. C’est pourquoi l’article met l’accent sur la nécessité de bien maîtriser ces méthodes et connaître leurs limites. KeywordsLandslide hazard-Lineament-Subjectivity-Remote sensing imagery Mots clésAléa de glissement de terrain-Linéament-Subjectivité-Imagerie à distance
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