Evaluation of automatic extraction methods for morphostructural and magnetic lineaments from remote sensor images and aerogeophysical data
DOI:
https://doi.org/10.11606/issn.2316-9095.v22-187403Keywords:
Remote sensing, Magnetometry, Digital image processing, Lineaments, Automatic mappingAbstract
Remote sensing images allow viewing the entire terrain surface and the elements that compose it. Among the features related to these elements, and visible in aerial and orbital images, are the morphostructural lineaments, which register the occurrence of tectonic activity on the surface. In the subsurface, these geological features can extend to great crustal depths, being visible in magnetic data and, therefore, called magnetic lineaments. The extraction of morphostructural and magnetic lineaments can be performed manually, semiautomatically, and automatically, and the possibility of using different data sources and different computational algorithms found in automatic methods allows the identification of elements and distinct shapes associated with the lineaments, promoting their proper extraction. The objective of this work was to extract the morphostructural and magnetic lineaments from remote sensor data and aerogeophysical data, in a similar way to that obtained by manual methods, by testing the parameters present in the threshold detection algorithms, by thresholds and segmentation, and to verify the complementarity of the extraction of lineaments automatically mapped in these different data sets.
Downloads
References
Alves, L. S. (2012). Estudo da margem continental ibérica ocidental com base em dados gravimétricos e magnetométricos regionais. Dissertação (Mestrado). Rio de Janeiro: Universidade do Estado do Rio de Janeiro. Disponível em: http://www.bdtd.uerj.br/handle/1/7089. Acesso em: 8 maio 2021.
Argialas, P., Mavrantza, O. D. (2004). Comparison of edge detection and Hough transform techniques for the extraction of geologic features. 20th ISPRS Congress, Istanbul, Turkey. Proceedings of the geo-imagery bridging continents.
Basavarajappa, H. T., Jeevan, L., Rajendran, S., Manjunatha, M. C. (2015). Discrimination of Banded Magnetite Quartzite (BMQ) deposits and associated lithology of parts of Chikkanayakanahalli Schist Belt of Dharwar Craton, Karntaka, India using Remote Sensing Technique. International Journal of Advanced Remote Sensing and GIS, 4(1), 1033-1044. https://doi.org/10.23953/cloud.ijarsg.97
Bello, A. M. (2014). Avaliações comparativas de filtros espaciais para mapeamento de contatos geológicos com contrastes de densidades e suscetibilidades magnéticas. Trabalho de Conclusão de Curso (Monografia). Niterói: Universidade Federal Fluminense. Disponível em: http://www.geofisica.uff.br/projeto-final?page=11. Acesso em: 28 abr. 2021.
Blakely, R. J. (1995). Potential theory in gravity and magnetic applications. Londres: Cambridge University Press, 464 p. https://doi.org/10.1017/CBO9780511549816
Bonetto, S., Facello, A., Ferrero, M. A., Umili, G. (2015). A tool for semi-automatic linear feature detection based on MDE. Computers and Geosciences, 75, 1-12. https://doi.org/10.1016/j.cageo.2014.10.005
Casas, A. M., Cortés, A. L., Maestro, A., Soriano, M. A., Riaguas, A., Bernal, J. (2000). LINDENS: a program for lineament length and density analysis. Computers & Geosciences, 26(9-10), 1011-1022. https://doi.org/10.1016/S0098-3004(00)00017-0
Dinakar, S. (2005). Geological, geomorphological and land use/land cover studied using Remote Sensing and GIS around Kollegal Shear Zone, South India. Thesis. Karnatka, India: University of Mysore.
Diretoria do Serviço Geográfico do Exército Brasileiro (DSG). (1980). Levantamento topográfico da carta Coxilha do Tabuleiro - SH.21-Z-B-VI-4; MI-2994/4. Escala 1:50.000. Estado do Rio Grande do Sul. Porto Alegre.
Ekneligoda, T. C., Henkel, H. (2006). The spacing calculator software-a visual basic program to calculate spatial properties of lineaments. Computers & Geosciences, 32(4), 542-553. https://doi.org/10.1016/j.cageo.2005.08.007
Fairhead, J. D., Williams, S. E. (2006). Evaluating normalized magnetic derivatives for structural mapping. SEG Technical Program Expanded Abstracts 01/2006, 25(1), 845-849. https://doi.org/10.1190/1.2370388
Ferreira, F. J. F., Souza, J., Bongiolo, A. B. S., Castro, L. G. (2013). Enhancement of the total horizontal gradient of magnetic anomalies using tilt angle. Geophysics, 78(3), J33-J41. https://doi.org/10.1190/geo2011-0441.1
Geosoft. (2008). Oasis Montaj: Release 8.1. Toronto: Geosoft Inc.
Goulart, C. V. (2017). Integração de dados de sensoriamento remoto, aerogeofísicos e geológicos na delimitação do lineamento de Ibaré, RS. Trabalho de conclusão de curso (monografia). Porto Alegre: IGEO/UFRGS. Disponível em: http://hdl.handle.net/10183/172274. Acesso em: 10 fev. 2021.
Hashim, M., Ahamad, S., Johari, M. A. M., Pour, A. B. (2013). Automatic lineament extraction in a heavily vegetated region using Landsat Enhanced Thematic Mapper (ETMþ) imagery. Advances in Space Research, 51(5), 874-890. https://doi.org/10.1016/j.asr.2012.10.004
Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24(6), 417-441. https://doi.org/10.1037/h0071325
Jordan, G., Schott, B. (2005) Application of wavelet analysis to the study of spatial pattern of morphotectonic lineaments in digital terrain models. A case study. Remote Sensing of Environment, 94(1), 31-38. https://doi.org/10.1016/j.rse.2004.08.013
Kocal, A., Duzgun, H. S., Karpuz, C. (2004). Discontinuity mapping with automatic lineament extraction from high resolution satellite imagery. Proceedings of the XXth ISPRS Congress, Istanbul, Turkey.
Koike, K., Nagano, S., Ohmi, M. (1995). Lineament analysis of satellite images using a Segment Tracing Algorithm (STA). Computers and Geosciences, 21(9), 1091-1104. https://doi.org/10.1016/0098-3004(95)00042-7
Kusky, T., El-Baz, F. (1998). Structural and tectonic evolution of the Sinai Peninsula, using Landsat data: Implications for groundwater exploration. Egypt. Journal of Remote Sensing and Space Sciences, 1, 69-100.
Lim, C. S., Ibrahim, K., Tjia, H. D. (2001). Radiometric and geometric information content of Tiung Sat-ILMSEIS data. In: Othman, M., Arshad, A. S. (Eds.). TiungSAT-1: from inception to inauguration. Shah Alam: Astronautic Technology SDN BHD, p. 169-184.
Masoud, A., Koike, K. (2011a). Auto-detection and integration of tectonically significant lineaments from SRTM DEM and remotely-sensed geophysical data. ISPRS Journal of Photogrammetry and Remote Sensing, 66(6), 818-832. https://doi.org/10.1016/j.isprsjprs.2011.08.003
Masoud, A., Koike, K. (2011b). Morphotectonics inferred from the analysis of topographic lineaments auto-detected from DEMs: Application and validation for the Sinai Peninsula, Egypt. Tectonophysics, 510(3-4), 291-308. https://doi.org/10.1016/j.tecto.2011.07.010
Masoud, A., Koike, K. (2017). Applicability of computeraided comprehensive tool (LINDA: LINeament Detection and Analysis) and shaded digital elevation model for characterizing and interpreting morphotectonic features from lineaments. Computers & Geosciences, 106, 89-100. https://doi.org/10.1016/j.cageo.2017.06.006
Middleton, M., Schnur, T., Sorjonen-Ward, P., Hyvönen, E. (2015). Geological lineament interpretation using the Object-Based Image Analysis approach: results of semi-automated analyses versus visual interpretation. Geological Survey of Finland, 57, 135-154. Disponível em: https://tupa.gtk.fi/julkaisu/specialpaper/sp_057_pages_135_154.pdf. Acesso em: 16 maio 2022.
Miller, H. G., Singh, V. (1994). Potential field tilt – a new concept for location of potential field sources. Journal of Applied Geophysics, 32(2-3), 213-217. https://doi.org/10.1016/0926-9851(94)90022-1
Naidu, P. S., Mathew, M. P. (1998). Analysis of geophysical potential fields: a digital signal processing approach. Estados Unidos: Elsevier, 297 p. v. 5.
O’Leary, D. W., Friedman, J. D., Pohn, H. A. (1976). Lineament, linear, lineation: some proposed new standards for old terms. Geological Society of America Bulletin, 87(10), 1463-1469. https://doi.org/10.1130/0016-7606(1976)87<1463:LLLSPN>2.0.CO;2
PCI Geomatics. (2016). Geomatica Trening Guide. Geomatica I, Curse guide. Version 0.1. PCI Allstate Parkway, Suite 501. Markham, Ontario: Geomatics Enterprises Inc. 90.
Peters, L. J. (1949). The direct approach to magnetic interpretation and its practical application. Geophysics, 14(3), 290-320. https://doi.org/10.1190/1.1437537
Pilkington, M., Keating, P. (2009). The utility of potential field enhancements for remote predictive mapping. Canadian Journal of Remote Sensing, 35(S1), S1-S11. https://doi.org/10.5589/m09-021
Prakesh, R. S., Mohan, R. (1986). Hydromorph geological mapping of Panwari area, Hamirpur district, Uttar Prade sh using satellite data. Journal of the Indian Society of Remote Sensing, 24(2), 97-103.
Rabeh, T., Miranda, M. (2008). A tectonic model of the Sinai Peninsula based on magnetic data. Journal of Geophysics and Engineering, 5(4), 469-479. https://doi.org/10.1088/1742-2132/5/4/010
Rabie, S. I., Ammar, A. A. (1990). Pattern of the main tectonic trends from remote geophysics, geological structures and satellite imagery, Central Eastern Desert, Egypt. International Journal of Remote Sensing, 11(4), 669-683. https://doi.org/10.1080/01431169008955049
Rajaram, M. (2009). What’s new in interpretation of magnetic data? Geohorizons, 50, 50-51. Disponível em: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.565.326&rep=rep1&type=pdf. Acesso em: 16 maio 2022.
Reid, A. B., Allsop, J. M., Granserg, H., Millet, A. J., Somerton, I. W. (1990). Magnetic Interpretation in three dimensions using Euler Deconvolution. Geophysics, 55(1), 80-91. https://doi.org/10.1190/1.1442774
Reis, L. K. O. (2016). Arcabouço tectônico da Porção Centro-Norte da Faixa Brasília com base em dados magnéticos e gravimétricos. Dissertação (Mestrado). Brasília: Instituto de Geociências, Universidade de Brasília. https://doi.org/10.26512/2016.09.D.22620
Saadi, N. M., Zaher, M. A., El-Baz, F., Watanabe, K. (2011). Integrated remote sensing data utilization for investigating structural and tectonic history of the Ghadames Basin, Libya. International Journal of Applied Earth Observation and Geoinformation, 13(5), 778-791. https://doi.org/10.1016/j.jag.2011.05.016
Salem, A., Williams, S., Fairhead, J. D., Ravat, D., Smith, R. (2007). Tilt-depth method: A simple depth estimation method using first-order magnetic derivatives. The Leading Edge, 26(12), 1502-1505. https://doi.org/10.1190/1.2821934
Serviço Geológico do Brasil (CPRM). (2010). Projeto aerogeofísico escudo do Rio Grande do Sul: relatório final do levantamento e processamento dos dados magnetométricos e gamaespectrométricos. Lasa Prospecções. v. 1. 260p.
Serviço Geológico do Brasil (CPRM). (2012). Geologia e recursos minerais da Folha Lagoa da Meia Lua - SH. 21−Z−B-VI. Escala 1:100.000, estado do Rio Grande do Sul / Jorge Henrique Laux. Porto Alegre: Programa Geologia do Brasil. 255 p.
Skeels, D. C. (1967). What is residual gravity? Geophysiscs, 32(5), 872-876. https://doi.org/10.1190/1.1439896
Smith, M. J., Wise, S. M. (2007). Problems of biasin mapping linear landforms from satellite imagery. International Journal of Applied Earth Observation and Geoinformation, 9(1), 65-78. https://doi.org/10.1016/j.jag.2006.07.002
Thompson, D. T. (1982). EULDPH: A new technique for making computer-assisted depth estimates from magnetic data. Geophysics, 47(1), 31-37. https://doi.org/10.1190/1.1441278
Universidade Federal do Rio Grande do Sul (UFRGS). (2005). Mapeamento geológico de parte da Folha Coxilha do Tabuleiro SH.21-Z-B-VI-4 (MI - 2994/4), 1:25.000, RS. Porto Alegre. Nota Explicativa, 2 mapas. Porto Alegre: Curso de Geologia, Instituto de Geociências, Universidade Federal do Rio Grande do Sul.
Verduzco, B., Fairhead, C., Green, C., Mackenzie, C. (2004). New insights into magnetic derivatives for structural mapping. The Leading Edge, 23(2), 116-119. https://doi.org/10.1190/1.1651454
Yeomans, C. M., Middleton, M., Shail, R. K., Grebby, S., Lusty, P. A. J. (2019). Integrated Object-Based Image Analysis for semi-automated geological lineament detection in southwest England. Computers and Geosciences, 123, 137-148. https://doi.org/10.1016/j.cageo.2018.11.005
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Catherine Vargas Goulart, Claudia Robbi Sluter, Cláudio Wilson Mendes Júnior
![Creative Commons License](http://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish in this journal shall comply with the following terms:
- Authors keep their copyright and grant to Geologia USP: Série Científica the right of first publication, with the paper under the Creative Commons BY-NC-SA license (summary of the license: https://creativecommons.org/licenses/by-nc-sa/4.0 | full text of the license: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) that allows the non-commercial sharing of the paper and granting the proper copyrights of the first publication in this journal.
- Authors are authorized to take additional contracts separately, for non-exclusive distribution of the version of the paper published in this journal (publish in institutional repository or as a book chapter), granting the proper copyrights of first publication in this journal.
- Authors are allowed and encouraged to publish and distribute their paper online (in institutional repositories or their personal page) at any point before or during the editorial process, since this can generate productive changes as well as increase the impact and citation of the published paper (See The effect of Open Access and downloads on citation impact).