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Coupling of DEM and remote-sensing-based approaches for semi-automated detection of regional geostructural features in Zagros mountain, Iran

Arabian Journal of Geosciences volume 6, pages 91–99 (2013)Cite this article

Abstract

In recent years, remote-sensing data have increasingly been used for the interpretation of objects and mapping in various applications of engineering geology. Digital elevation model (DEM) is very useful for detection, delineation, and interpretation of geological and structural features. The use of image elements for interpretation is a common method to extract structural features. In this paper, linear features were extracted from the Landsat ETM satellite image and then DEM was used to enhance those objects using digital-image-processing filtering techniques. The extraction procedures of the linear objects are performed in a semi-automated way. Photographic elements and geotechnical elements are used as main keys to extract the information from the satellite image data. This paper emphasizes on the application of DEM and usage of various filtering techniques with different convolution kernel size applied on the DEM. Additionally, this paper discusses about the usefulness of DEM and satellite digital data for extraction of structural features in SW of Zagros mountain, Iran.

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References

  • Ali Syed A, Pirasteh S (2003) Remote sensing and gis study of tectonics and net erosion rates in the Zagros Structural Belt, southwestern Iran. Mapp Sci Remote Sens 40(4):253–262

    Google Scholar 

  • Ali Syed A, Pirasteh S (2004) Geological application of Landsat ETM for mapping structural geology and interpretation: aided by remote sensing and gis. Int J Remote Sens 25(21):4715–4727

    Article  Google Scholar 

  • Ayazi MH, Pirasteh S, Arvin AKP, Pradhan B, Nikouravan B, Mansor S (2010) Disasters and risk reduction in groundwater: Zagros mountain southwest Iran using geoinformatics techniques. Disast Adv 3(1):51–57

    Google Scholar 

  • Berberian M (1995) Master “blind” thrust faults hidden under the Zagros Folds: active basement and surface morphotectonics. Tectonophysics 241:193–224

    Article  Google Scholar 

  • Bolstad PV, Stowe T (1994) An evaluation of DEM accuracy: elevation, slope and aspect. Photogramm Eng Remote Sensing 60(11):1327–1332

    Google Scholar 

  • Farrokhnia A, Pirasteh S, Pradhan B, Pourkermani M, Arian M (2010) A recent scenario of mass wasting and its impact on the transportation in Alborz Mountains. Iran using geo-information technology. Arabian J Geosci. doi:10.1007/s12517-010-0238-7

  • Giacinto G, Roli F, Bruzzone L (2000) Combination of neural and statistical algorithms for supervised classification of remote-sensing images. Pattern Recogn Lett 21:385–397

    Article  Google Scholar 

  • Jana MM (2002) Application of remote sensing in the study of geomorphic processes and landform in piedmont zone of Darjeeling Sub-Himalaya. Photonirvachak-J Ind 30(1–2):61–72

    Google Scholar 

  • Juhari MA, Ibrahim A (1997) Geological application of Landsat Themetic Mapper imagery: mapping and analysing of lineaments in NW Penisula Malaysia. Available at: www.gisdevelopment.net/aars/1997/. pp 1–7

  • Lee S (2005) Application and cross-validation of spatial logistic multiple regression for landslide susceptibility analysis. Geosci J 9(1):63–71

    Article  Google Scholar 

  • Lee S, Pradhan B (2006) Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. J Earth Syst Sci 115(6):661–672

    Article  Google Scholar 

  • Lee S, Pradhan B (2007) Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides 4(1):33–41

    Article  Google Scholar 

  • Li Z (1994) A comparative study of the accuracy of digital terrain models (DTMs) based on various data models. ISPRS J Photogramm 49(1):2–11

    Article  Google Scholar 

  • Lillesand TM, Kiefer RW (1987) Remote sensing, and image interpretation, 2nd edn. Wiley, Singapore

    Google Scholar 

  • Pirasteh S, Syed Ahmad A (2005) Lithostratigraphic study from Dezful to Brojerd-Dorood areas SW Iran using digital topography, remote sensing and GIS. Indian Petr Geol J 13(1):1–13

    Google Scholar 

  • Pirasteh S, Woodbridge K, Rizvi SMA (2008) Geo-information technology (GiT) and tectonic signatures: the River Karun & Dez, Zagros Orogen in south-west Iran. Int J Remote Sens 30:389–395

    Article  Google Scholar 

  • Pirasteh S, Pradhan B, Mahmoodzadeh A (2009) Stability mapping and landslide recognition in Zagros mountain South West Iran: a case study. Disast Adv 2(1):47–53

    Google Scholar 

  • Pirasteh S, Rizvi SMA, Ayazi MH, Mahmoodzadeh A (2010a) Using microwave remote sensing for flood study in Bhuj Taluk, Kuchch District Gujarat, India. International Geoinformatics Research and Development Journal 1(1):13–24

    Google Scholar 

  • Pirasteh S, Safari HO, Pradhan B, Attarzadeh I (2010b) Litho-morphotectonics analysis using Landsat ETM data and GIS techniques: Zagros Fold Belt (ZFB), SW Iran. Intl Geoinf Res Dev J 1(2):28–36

    Google Scholar 

  • Pirasteh S, Pradhan B, Rizvi SM (2011) Tectonic process analysis in Zagros mountain with the aid of drainage networks and topography maps dated 1950–2001 in GIS. Arabian J Geosci 4(1–2):171–180. doi:10.1007/s12517-009-0100-y

    Article  Google Scholar 

  • Pradhan B (2010a) Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia. Adv Space Res 45(10):1244–1256

    Article  Google Scholar 

  • Pradhan B (2010b) Application of an advanced fuzzy logic model for landslide susceptibility analysis. Intl J Comput Intel Syst 3(3):370–381. doi:10.2991/ijcis.2010.3.3.12

    Google Scholar 

  • Pradhan B (2010c) Manifestation of an advanced fuzzy logic model coupled with geoinformation techniques for landslide susceptibility analysis. Environ Ecol Stat. doi:10.1007/s10651-010-0147-7

  • Pradhan B (2010d) Role of GIS in natural hazard detection, modeling and mitigation. Disast Adv 3(1):3–4

    Google Scholar 

  • Pradhan B (2010e) Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches. J Indian Soc Remote Sens 38(2):301–320

    Article  Google Scholar 

  • Pradhan B (2011) Use of GIS based fuzzy relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia. Environ Earth Sci 63(2):329–349

    Article  Google Scholar 

  • Pradhan B, Buchroithner MF (2010) Comparison and validation of landslide susceptibility maps using an artificial neural network model for three test areas in Malaysia. Environ Eng Geosci 16(2):107–126

    Article  Google Scholar 

  • Pradhan B, Lee S (2009) Landslide risk analysis using artificial neural network model focusing on different training sites. Intl J Phys Sci 3(11):1–15

    Google Scholar 

  • Pradhan B, Lee S (2010a) Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environ Earth Sci 60(5):1037–1054

    Article  Google Scholar 

  • Pradhan B, Lee S (2010b) Landslide susceptibility assessment and factor effect analysis: back-propagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environ Modell Softw 25(6):747–759

    Article  Google Scholar 

  • Pradhan B, Lee S (2010c) Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides 7(1):13–30

    Article  Google Scholar 

  • Pradhan B, Pirasteh P (2010) Comparison between prediction capabilities of neural network and fuzzy logic techniques for landslide susceptibility mapping. Disast Adv 3(2):26–34

    Google Scholar 

  • Pradhan B, Youssef AM (2010) Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models. Arabian J Geosci 3(3):319–326. doi:10.1007/s12517-009-0089-2

    Article  Google Scholar 

  • Pradhan B, Singh RP, Buchroithner MF (2006) Estimation of stress and its use in evaluation of landslide prone regions using remote sensing data. Adv Space Res 37:698–709

    Article  Google Scholar 

  • Pradhan B, Lee S, Buchroithner MF (2010a) A GIS-based back-propagation neural network model and its cross application and validation for landslide susceptibility analyses. Comput Environ Urban Syst 34:216–235

    Article  Google Scholar 

  • Pradhan B, Lee S, Buchroithner M (2010b) Remote sensing and GIS-based landslide susceptibility analysis and its cross-validation in three test areas using a frequency ratio model. Photogramme Fernerkund Geoinf 1:17–32. doi:10.1127/1432-8364/2010/0037

    Article  Google Scholar 

  • Pradhan B, Pirasteh S, Varatharajoo R (2010c) Enhancement of automated lineament extraction from IRS- 1B satellite imagery for part of Himalayan region. Intl J Geo Inf 6(2):41–50

    Google Scholar 

  • Safari HO, Pirasteh S, Pradhan B (2009) Upliftment estimation of the Zagros Transverse Fault in Iran using geoinformatics technology. Remote Sens 1(4):1240–1256. doi:10.3390/rs1041240

    Article  Google Scholar 

  • Sattarzadeh Y, CosGrove JW, Vita-Finzi C (2000) The interplay of faulting and folding during the evoluation of the Zagros. In: Cosgrove, J.W.& Ameen. M.S. (eds) Forced Folds and Fractures. Special publication, 169, Geological Society, London. pp 187–196

  • Youssef AM, Pradhan B, Gaber AFD, Buchroithner MF (2009) Geomorphological hazard analysis along the Egyptian Red Sea coast between Safaga and Quseir. Nat Hazards Earth Syst Sci 9:751–766

    Article  Google Scholar 

  • Youssef AM, Pradhan B, Sabtan AA et al (2011) Coupling of remote sensing data aided with field investigations for geological hazards assessment in Jazan area, Kingdom of Saudi Arabia. Environmental Earth Sciences, doi:10.1007/s12665-011-1071-3

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Authors and Affiliations

  1. Institute of Advanced Technology, Spatial Numerical Modeling Laboratory, University Putra Malaysia, 43400, UPM, Serdang, Malaysia

    Saied Pirasteh & Biswajeet Pradhan

  2. Faculty of Earth Sciences, Golestan University, Sari, Iran

    Hojjat O. Safari

  3. Faculty of Environmental Studies, University Putra Malaysia, 43400, UPM, Serdang, Malaysia

    Mohammad Firuz Ramli

Authors
  1. Saied Pirasteh
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  2. Biswajeet Pradhan
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  3. Hojjat O. Safari
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  4. Mohammad Firuz Ramli
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Correspondence to Biswajeet Pradhan.

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Pirasteh, S., Pradhan, B., Safari, H.O. et al. Coupling of DEM and remote-sensing-based approaches for semi-automated detection of regional geostructural features in Zagros mountain, Iran. Arab J Geosci 6, 91–99 (2013). https://doi.org/10.1007/s12517-011-0361-0

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  • DOI: https://doi.org/10.1007/s12517-011-0361-0

Keywords

  • Remote sensing
  • Image processing
  • DEM
  • Linear feature mapping
  • GIS
  • Zagros mountain