Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota

Se elaboró un modelo digital tridimensional (3D) de un afloramiento de rocas sedimentarias del Grupo Guadalupe en la Cordillera Oriental de Colombia, mediante la captura de imágenes aéreas utilizando un vehículo aéreo no tripulado (VANT), con el fin de realizar su caracterización estructural. Para e...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Militar Nueva Granada
Repositorio:
Repositorio UMNG
Idioma:
spa
OAI Identifier:
oai:repository.unimilitar.edu.co:10654/31993
Acceso en línea:
http://hdl.handle.net/10654/31993
Palabra clave:
Fotogrametría
Afloramiento virtual
Geología estructural
DOM
VOM
VANT
FOTOGRAMETRIA
GEOLOGIA
Photogrammetry
Structural geology
Virtual outcrop
UAV
VOM
DOM
Rights
License
Derechos Reservados - Universidad Militar Nueva Granada, 2019
id UNIMILTAR2_f8264669d5369811b8e3046e39d61c81
oai_identifier_str oai:repository.unimilitar.edu.co:10654/31993
network_acronym_str UNIMILTAR2
network_name_str Repositorio UMNG
repository_id_str
dc.title.spa.fl_str_mv Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota
dc.title.titleenglish.spa.fl_str_mv Structural characterization of outcrops with remote perception tools
title Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota
spellingShingle Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota
Fotogrametría
Afloramiento virtual
Geología estructural
DOM
VOM
VANT
FOTOGRAMETRIA
GEOLOGIA
Photogrammetry
Structural geology
Virtual outcrop
UAV
VOM
DOM
title_short Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota
title_full Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota
title_fullStr Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota
title_full_unstemmed Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota
title_sort Caracterización estructural de afloramientos rocosos mediante herramientas de percepción remota
dc.contributor.advisor.none.fl_str_mv Riaño Pérez, Felipe Alfredo
dc.contributor.role.none.fl_str_mv Rayo, Lorena
dc.subject.spa.fl_str_mv Fotogrametría
Afloramiento virtual
Geología estructural
DOM
VOM
VANT
topic Fotogrametría
Afloramiento virtual
Geología estructural
DOM
VOM
VANT
FOTOGRAMETRIA
GEOLOGIA
Photogrammetry
Structural geology
Virtual outcrop
UAV
VOM
DOM
dc.subject.lemb.spa.fl_str_mv FOTOGRAMETRIA
GEOLOGIA
dc.subject.keyword.spa.fl_str_mv Photogrammetry
Structural geology
Virtual outcrop
UAV
VOM
DOM
description Se elaboró un modelo digital tridimensional (3D) de un afloramiento de rocas sedimentarias del Grupo Guadalupe en la Cordillera Oriental de Colombia, mediante la captura de imágenes aéreas utilizando un vehículo aéreo no tripulado (VANT), con el fin de realizar su caracterización estructural. Para esto, se usó un software especializado para el modelado e interpretación de información tridimensional. Se obtuvieron 62 datos estructurales, 30 de estos corresponden a estratificación, y 32 a familias de fracturas. Se encontró que la secuencia sedimentaria buza uniformemente hacia el occidente (288/59, dirección de buzamiento/buzamiento), y presenta tres familias de fracturas principales: familia 1 (84/70), familia 2 (192/76) y familia 3 (38/62). Este estudio demuestra la utilidad de aplicación de técnicas de percepción remota al campo de las geociencias.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-08-29T17:52:07Z
2019-12-30T18:00:54Z
dc.date.available.none.fl_str_mv 2019-08-29T17:52:07Z
2019-12-30T18:00:54Z
dc.date.created.none.fl_str_mv 2019-06-15
dc.type.spa.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.spa.spa.fl_str_mv Trabajo de grado
dc.type.dcmi-type-vocabulary.spa.fl_str_mv Text
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10654/31993
url http://hdl.handle.net/10654/31993
dc.language.spa.fl_str_mv spa
dc.language.iso.spa.fl_str_mv spa
language spa
dc.rights.spa.fl_str_mv Derechos Reservados - Universidad Militar Nueva Granada, 2019
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.rights.creativecommons.spa.fl_str_mv Atribución-NoComercial-SinDerivadas
rights_invalid_str_mv Derechos Reservados - Universidad Militar Nueva Granada, 2019
https://creativecommons.org/licenses/by-nc-nd/2.5/co/
Atribución-NoComercial-SinDerivadas
http://purl.org/coar/access_right/c_abf2
dc.format.spa.fl_str_mv pdf
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.coverage.spatial.spa.fl_str_mv Calle 100
dc.publisher.spa.fl_str_mv Universidad Militar Nueva Granada
dc.publisher.department.spa.fl_str_mv Facultad de Ingeniería
dc.publisher.program.spa.fl_str_mv Especialización en Geomática
institution Universidad Militar Nueva Granada
dc.source.bibliographicCitation.spa.fl_str_mv Bellian, J. A., Kerans, C., & Jennette, D. C. (2005). Digital Outcrop Models: Applications of Terrestrial Scanning Lidar Technology in Stratigraphic Modeling. Journal of Sedimentary Research, 75(2), 166–176. doi.org/10.2110/jsr.2005.013
Buckley, S. J., Enge, H. D., Carlsson, C., & Howell, J. A. (2010). Terrestrial laser scanning for use in virtual outcrop geology. Photogrammetric Record, 25(131), 225–239. doi.org/10.1111/j.1477-9730.2010.00585.x
Buckley, S. J., Howel, J. A., Enge, H. D., & Kurz, T. H. (2008). Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations. Journal of the Geological Society, 165(3), 625–638. doi.org/10.1144/0016-76492007-100
Cawood, A., & Bond, C. (2018). eRocK: an oline, open-access repostory of virtual outcrops and geological samples in 3D. Geophysical Research Abstracts, 20. Recuperado de www.e-rock.org
Corradetti, A. (2016). 3D structural characterization of outcrops by means of close-range multi-view stereo-photogrammetry (University of Naples Federico II). Recuperado de http://www.fedoa.unina.it/10683/1/Corradetti_Amerigo_28.pdf
Favalli, M., Fornaciai, A., Isola, I., Tarquini, S., & Nannipieri, L. (2012). Multiview 3D reconstruction in geosciences. Computers and Geosciences, 44, 168–176. doi.org/10.1016/j.cageo.2011.09.012
García-Sellés, D., Falivene, O., Arbués, P., Gratacos, O., Tavani, S., & Muñoz, J. A. (2011). Supervised identification and reconstruction of near-planar geological surfaces from terrestrial laser scanning. Computers and Geosciences, 37(10), 1584–1594. doi.org/10.1016/j.cageo.2011.03.007
Groshong, R. H. (2006). 3-D Structural Geology : a Practical Guide to Surface and Subsurface Map Interpretation (Second edi). doi.org/10.1007/978-3-540-31055-6
Haneberg, W. C. (2008). Using close range terrestrial digital photogrammetry for 3-D rock slope modeling and discontinuity mapping in the United States. Bulletin of Engineering Geology and the Environment, 67(4), 457–469. doi.org/10.1007/s10064-008-0157-y
Haneberg, W. C., Norrish, N. I., & Findley, D. P. (2006). Digital Outcrop Characterization for 3-D Structural Mapping and Rock Slope Design Along Interstate 90 Near Snoqualmie Pass, Washington. Proceedings 57th Annual Highway Geology Symposium, 1–14. Recuperado de http://www.wnrockeng.com/files/Digital Outcrop Characterizati.pdf
Hodgetts, D. (n.d.). VRGeoscience (Computer software). Recuperado de http://www.vrgeoscience.com/
Hodgetts, D., Gawthorpe, R. L., Wilson, P., & Rarity, F. (2007). Integrating Digital and Traditional Field Techniques Using Virtual Reality Geological Studio (VRGS). 69th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2007. doi.org/10.3997/2214-4609.201401718
Hodgetts, D. (2011). Quantitative geology from digital outcrop data for the characterisation of hydrocarbon reservoirs. Geophysical Research Abstracts, 13, 4065–4065. Recuperado de http://meetingorganizer.copernicus.org/EGU2011/EGU2011-4065.pdf
Ingeominas. (2008). Geología de la Plancha 228 Sanfatfé de Bogotá Noreste. Escala 1:100.000.
Jones, R. R., Pringle, J. K., McCaffrey, K. J. W., Inber, J., Wightman, R. H., Guo, J., & Long, J. J. (2011). Extending Digital Outcrop Geology into the Subsurface. In A. J. Martinsen, Ole J. Pulham & M. D. Haughton, Peter D.W. Sullivan (Eds.), Outcrops Revitalized: Tools, Techniques and Applications (Vol. 10, pp. 31–50). doi.org/10.2110/sepmcsp.10.031
Jones, R. R., Wawrzyniec, T. F., Holliman, N. S., McCaffrey, K. J. W., Imber, J., & Holdsworth, R. E. (2008). Describing the dimensionality of geospatial data in the earth sciences—Recommendations for nomenclature. Geosphere, 4(2), 354. doi.org/10.1130/ges00158.1
Kurz, T. H., Dewit, J., Buckley, S. J., Thurmond, J. B., Hunt, D. W., & Swennen, R. (2012). Hyperspectral image analysis of different carbonate lithologies (limestone, karst and hydrothermal dolomites): The Pozalagua Quarry case study (Cantabria, North-west Spain). Sedimentology, 59(2), 623–645. doi.org/10.1111/j.1365-3091.2011.01269.x
McCaffrey, K. J. W., Jones, R. R., Holdsworth, R. E., Wilson, R. W., Clegg, P., Imber, J., … Trinks, I. (2005). Unlocking the spatial dimension: digital technologies and the future of geoscience fieldwork. Journal of the Geological Society, 162(6), 927–938. doi.org/10.1144/0016-764905-017
Menichetti, M., Piacentini, D., De Donatis, M., & Tirincanti, E. (2016). Virtual Outcrop And 3D Structural Analysis Of Monte Vettore Extensional Active Faults. Conference: 35° Convegno Gruppo Nazionale Di Geofisica Della Terra Solida, 64–67. Recuperado de http://www3.ogs.trieste.it/gngts/files/2016/SSp/Riassunti/Menichetti.pdf
Minisini, D., Wang, M., Bergman, S. C., & Aiken, C. (2014). Geological data extraction from lidar 3-D photorealistic models: A case study in an organic-rich mudstone, Eagle Ford Formation, Texas. Geosphere, 10(3), 610–626. doi.org/10.1130/GES00937.1
Pringle, J. K., Clark, J. D., Westerman, A. R., Stanbrook, D. A., Gardiner, A. R., & Morgan, B. E. F. (2001). Virtual outcrops: 3-D reservoir analogues. Journal of the Virtual Explorer, 4(9). doi.org/10.3809/jvirtex.2001.00036
Ragan, D. (2009). Structural Geology: An Introduction to Geometrical Techniques (Fourth edi). Cambridge University Press.
Tavani, S., Granado, P., Corradetti, A., Girundo, M., Iannace, A., Arbués, P., … Mazzoli, S. (2014). Building a virtual outcrop, extracting geological information from it, and sharing the results in Google Earth via OpenPlot and Photoscan: An example from the Khaviz Anticline (Iran). Computers and Geosciences, 63, 44–53. doi.org/10.1016/j.cageo.2013.10.013
Woodcock, N. H. (1976). The Accuracy of Structural Field Measurements. The Journal of Geology, 84(3), 350–355. doi.org/10.1086/628200
Xu, X., Aiken, C. L. V., Bhattacharya, J. P., Corbeanu, R. M., Nielsen, K. C., McMechan, G. A., & Abdelsalam, M. G. (2000). Creating virtual 3-D outcrop. The Leading Edge, 19(2), 197–202. doi.org/10.1190/1.1438576
Xu, X., Aiken, C. L. V., & Nielsen, K. C. (1999). Real time and the virtual outcrop improve geological field mapping. Eos, Transactions American Geophysical Union, 80(29), 317,322-324. doi.org/10.1029/99EO00232
bitstream.url.fl_str_mv http://repository.unimilitar.edu.co/bitstream/10654/31993/1/license.txt
http://repository.unimilitar.edu.co/bitstream/10654/31993/2/LopezPulidoAlbeiroAntonio2019.pdf
http://repository.unimilitar.edu.co/bitstream/10654/31993/3/LopezPulidoAlbeiroAntonio2019.pdf.jpg
bitstream.checksum.fl_str_mv 520e8f0b4e8d2d5c25366f2f78f584b0
8bbbe59f94088a917e818a8f268a9be4
42e435ca8b8c975bb8c0822b87dcd6bc
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional UMNG
repository.mail.fl_str_mv bibliodigital@unimilitar.edu.co
_version_ 1837098499817078784
spelling Riaño Pérez, Felipe AlfredoRayo, LorenaLópez Pulido, Albeiro Antonioalhebre@hotmail.comEspecialista en GeomáticaCalle 1002019-08-29T17:52:07Z2019-12-30T18:00:54Z2019-08-29T17:52:07Z2019-12-30T18:00:54Z2019-06-15http://hdl.handle.net/10654/31993Se elaboró un modelo digital tridimensional (3D) de un afloramiento de rocas sedimentarias del Grupo Guadalupe en la Cordillera Oriental de Colombia, mediante la captura de imágenes aéreas utilizando un vehículo aéreo no tripulado (VANT), con el fin de realizar su caracterización estructural. Para esto, se usó un software especializado para el modelado e interpretación de información tridimensional. Se obtuvieron 62 datos estructurales, 30 de estos corresponden a estratificación, y 32 a familias de fracturas. Se encontró que la secuencia sedimentaria buza uniformemente hacia el occidente (288/59, dirección de buzamiento/buzamiento), y presenta tres familias de fracturas principales: familia 1 (84/70), familia 2 (192/76) y familia 3 (38/62). Este estudio demuestra la utilidad de aplicación de técnicas de percepción remota al campo de las geociencias.Davant S.A.S.A three-dimensional (3D) digital model of an outcrop of sedimentary rocks of the Guadalupe Group in the Eastern Cordillera of Colombia was elaborated, by capturing images of an unmanned aerial vehicle (UAV), in order to carry out its structural characterization. For this, specialized software was used for modelling and interpretation of three-dimensional information. 62 structural data were obtained, 30 of these corresponding to stratification, and 32 to sets of fractures. It was found that the sedimentary sequence dip uniformly towards the west (288/59, direction of dip / dip), and presents three sets of major fractures: set 1 (84/70), set 2 (192/76) and set 3 (38/62). This study demonstrates the usefulness of remote sensing techniques in the field of geosciences.pdfapplication/pdfspaspaUniversidad Militar Nueva GranadaFacultad de IngenieríaEspecialización en GeomáticaDerechos Reservados - Universidad Militar Nueva Granada, 2019https://creativecommons.org/licenses/by-nc-nd/2.5/co/Atribución-NoComercial-SinDerivadashttp://purl.org/coar/access_right/c_abf2FotogrametríaAfloramiento virtualGeología estructuralDOMVOMVANTFOTOGRAMETRIAGEOLOGIAPhotogrammetryStructural geologyVirtual outcropUAVVOMDOMCaracterización estructural de afloramientos rocosos mediante herramientas de percepción remotaStructural characterization of outcrops with remote perception toolsinfo:eu-repo/semantics/bachelorThesisTrabajo de gradoTexthttp://purl.org/coar/resource_type/c_7a1fBellian, J. A., Kerans, C., & Jennette, D. C. (2005). Digital Outcrop Models: Applications of Terrestrial Scanning Lidar Technology in Stratigraphic Modeling. Journal of Sedimentary Research, 75(2), 166–176. doi.org/10.2110/jsr.2005.013Buckley, S. J., Enge, H. D., Carlsson, C., & Howell, J. A. (2010). Terrestrial laser scanning for use in virtual outcrop geology. Photogrammetric Record, 25(131), 225–239. doi.org/10.1111/j.1477-9730.2010.00585.xBuckley, S. J., Howel, J. A., Enge, H. D., & Kurz, T. H. (2008). Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations. Journal of the Geological Society, 165(3), 625–638. doi.org/10.1144/0016-76492007-100Cawood, A., & Bond, C. (2018). eRocK: an oline, open-access repostory of virtual outcrops and geological samples in 3D. Geophysical Research Abstracts, 20. Recuperado de www.e-rock.orgCorradetti, A. (2016). 3D structural characterization of outcrops by means of close-range multi-view stereo-photogrammetry (University of Naples Federico II). Recuperado de http://www.fedoa.unina.it/10683/1/Corradetti_Amerigo_28.pdfFavalli, M., Fornaciai, A., Isola, I., Tarquini, S., & Nannipieri, L. (2012). Multiview 3D reconstruction in geosciences. Computers and Geosciences, 44, 168–176. doi.org/10.1016/j.cageo.2011.09.012García-Sellés, D., Falivene, O., Arbués, P., Gratacos, O., Tavani, S., & Muñoz, J. A. (2011). Supervised identification and reconstruction of near-planar geological surfaces from terrestrial laser scanning. Computers and Geosciences, 37(10), 1584–1594. doi.org/10.1016/j.cageo.2011.03.007Groshong, R. H. (2006). 3-D Structural Geology : a Practical Guide to Surface and Subsurface Map Interpretation (Second edi). doi.org/10.1007/978-3-540-31055-6Haneberg, W. C. (2008). Using close range terrestrial digital photogrammetry for 3-D rock slope modeling and discontinuity mapping in the United States. Bulletin of Engineering Geology and the Environment, 67(4), 457–469. doi.org/10.1007/s10064-008-0157-yHaneberg, W. C., Norrish, N. I., & Findley, D. P. (2006). Digital Outcrop Characterization for 3-D Structural Mapping and Rock Slope Design Along Interstate 90 Near Snoqualmie Pass, Washington. Proceedings 57th Annual Highway Geology Symposium, 1–14. Recuperado de http://www.wnrockeng.com/files/Digital Outcrop Characterizati.pdfHodgetts, D. (n.d.). VRGeoscience (Computer software). Recuperado de http://www.vrgeoscience.com/Hodgetts, D., Gawthorpe, R. L., Wilson, P., & Rarity, F. (2007). Integrating Digital and Traditional Field Techniques Using Virtual Reality Geological Studio (VRGS). 69th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2007. doi.org/10.3997/2214-4609.201401718Hodgetts, D. (2011). Quantitative geology from digital outcrop data for the characterisation of hydrocarbon reservoirs. Geophysical Research Abstracts, 13, 4065–4065. Recuperado de http://meetingorganizer.copernicus.org/EGU2011/EGU2011-4065.pdfIngeominas. (2008). Geología de la Plancha 228 Sanfatfé de Bogotá Noreste. Escala 1:100.000.Jones, R. R., Pringle, J. K., McCaffrey, K. J. W., Inber, J., Wightman, R. H., Guo, J., & Long, J. J. (2011). Extending Digital Outcrop Geology into the Subsurface. In A. J. Martinsen, Ole J. Pulham & M. D. Haughton, Peter D.W. Sullivan (Eds.), Outcrops Revitalized: Tools, Techniques and Applications (Vol. 10, pp. 31–50). doi.org/10.2110/sepmcsp.10.031Jones, R. R., Wawrzyniec, T. F., Holliman, N. S., McCaffrey, K. J. W., Imber, J., & Holdsworth, R. E. (2008). Describing the dimensionality of geospatial data in the earth sciences—Recommendations for nomenclature. Geosphere, 4(2), 354. doi.org/10.1130/ges00158.1Kurz, T. H., Dewit, J., Buckley, S. J., Thurmond, J. B., Hunt, D. W., & Swennen, R. (2012). Hyperspectral image analysis of different carbonate lithologies (limestone, karst and hydrothermal dolomites): The Pozalagua Quarry case study (Cantabria, North-west Spain). Sedimentology, 59(2), 623–645. doi.org/10.1111/j.1365-3091.2011.01269.xMcCaffrey, K. J. W., Jones, R. R., Holdsworth, R. E., Wilson, R. W., Clegg, P., Imber, J., … Trinks, I. (2005). Unlocking the spatial dimension: digital technologies and the future of geoscience fieldwork. Journal of the Geological Society, 162(6), 927–938. doi.org/10.1144/0016-764905-017Menichetti, M., Piacentini, D., De Donatis, M., & Tirincanti, E. (2016). Virtual Outcrop And 3D Structural Analysis Of Monte Vettore Extensional Active Faults. Conference: 35° Convegno Gruppo Nazionale Di Geofisica Della Terra Solida, 64–67. Recuperado de http://www3.ogs.trieste.it/gngts/files/2016/SSp/Riassunti/Menichetti.pdfMinisini, D., Wang, M., Bergman, S. C., & Aiken, C. (2014). Geological data extraction from lidar 3-D photorealistic models: A case study in an organic-rich mudstone, Eagle Ford Formation, Texas. Geosphere, 10(3), 610–626. doi.org/10.1130/GES00937.1Pringle, J. K., Clark, J. D., Westerman, A. R., Stanbrook, D. A., Gardiner, A. R., & Morgan, B. E. F. (2001). Virtual outcrops: 3-D reservoir analogues. Journal of the Virtual Explorer, 4(9). doi.org/10.3809/jvirtex.2001.00036Ragan, D. (2009). Structural Geology: An Introduction to Geometrical Techniques (Fourth edi). Cambridge University Press.Tavani, S., Granado, P., Corradetti, A., Girundo, M., Iannace, A., Arbués, P., … Mazzoli, S. (2014). Building a virtual outcrop, extracting geological information from it, and sharing the results in Google Earth via OpenPlot and Photoscan: An example from the Khaviz Anticline (Iran). Computers and Geosciences, 63, 44–53. doi.org/10.1016/j.cageo.2013.10.013Woodcock, N. H. (1976). The Accuracy of Structural Field Measurements. The Journal of Geology, 84(3), 350–355. doi.org/10.1086/628200Xu, X., Aiken, C. L. V., Bhattacharya, J. P., Corbeanu, R. M., Nielsen, K. C., McMechan, G. A., & Abdelsalam, M. G. (2000). Creating virtual 3-D outcrop. The Leading Edge, 19(2), 197–202. doi.org/10.1190/1.1438576Xu, X., Aiken, C. L. V., & Nielsen, K. C. (1999). Real time and the virtual outcrop improve geological field mapping. Eos, Transactions American Geophysical Union, 80(29), 317,322-324. doi.org/10.1029/99EO00232EspecializaciónIngeniería - Especialización en GeomáticaLICENSElicense.txttext/plain2898http://repository.unimilitar.edu.co/bitstream/10654/31993/1/license.txt520e8f0b4e8d2d5c25366f2f78f584b0MD51ORIGINALLopezPulidoAlbeiroAntonio2019.pdfArtículoapplication/pdf1204723http://repository.unimilitar.edu.co/bitstream/10654/31993/2/LopezPulidoAlbeiroAntonio2019.pdf8bbbe59f94088a917e818a8f268a9be4MD52THUMBNAILLopezPulidoAlbeiroAntonio2019.pdf.jpgIM Thumbnailimage/jpeg6116http://repository.unimilitar.edu.co/bitstream/10654/31993/3/LopezPulidoAlbeiroAntonio2019.pdf.jpg42e435ca8b8c975bb8c0822b87dcd6bcMD5310654/31993oai:repository.unimilitar.edu.co:10654/319932019-12-30 13:00:54.996Repositorio Institucional UMNGbibliodigital@unimilitar.edu.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

Publicaciones similares