Uso de Drones en la Gestión de Inundaciones y Deslizamientos para Colombia

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dc.contributor.advisorRamos Castañeda, Marcos Andrés
dc.contributor.authorVelásquez Suesca, Michael Andrés
dc.contributor.corporatenameUniversidad Santo Tomás
dc.contributor.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001999776
dc.contributor.orcidhttps://orcid.org/0000-0002-2851-2919
dc.date.accessioned2025-07-23T15:54:51Z
dc.date.available2025-07-23T15:54:51Z
dc.date.issued2025-07-14
dc.descriptionEn Colombia, los desastres naturales como las inundaciones y deslizamientos de tierra representan amenazas recurrentes con graves implicaciones sociales, económicas y ambientales. Este artículo de revisión analiza el uso de drones o sistemas aéreos no tripulados (UAS) como herramientas tecnológicas emergente en la gestión del riesgo de desastres en el país. A través de un análisis bibliométrico y temático de literatura científica reciente, se identificas los tipos de drones más utilizados, los sensores implementados, y las aplicaciones específicas en la recolección de datos geoespaciales. Se evidencian ventajas significativas como la capacidad de operación en tiempo real, el acceso a zonas de difícil alcance y la obtención de ortofotos y modelos digitales de elevación (DEM) de alta resolución. Asimismo, se discuten experiencias internacionales y nacionales relevantes, así como los retos normativos, técnicos e institucionales que enfrenta Colombia para una implementación efectiva en un sistema de gestión del riesgo de desastres.
dc.description.abstractIn Colombia, natural disasters such as floods and landslides are recurring threats with severe social, economic, and environmental consequences. This review article explores the use of drones or unmanned aerial systems (UAS) as an emerging technological tool for disaster risk management in the country. Through bibliometric and thematic analysis of recent scientific literature, the study identifies the most used types of drones, integrated sensors, and their specific applications in geospatial data collection. The findings highlight significant advantages such as real-time operation, access to hard-to-reach areas, and the generation of high-resolution orthophotos and digital elevation models (DEMs). Moreover, the article discusses relevant international and national experiences, as well as the regulatory, technical, and institutional challenges that Colombia must address to effectively and sustainably implement these technologies within its disaster risk management framework.
dc.description.degreelevelPregradospa
dc.description.degreenameIngeniero Ambientalspa
dc.format.mimetypeapplication/pdf
dc.identifier.citationVelásquez Suesca, M, A. (2025) Uso de drones en la gestión de inundaciones y deslizamientos para Colombia. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional.
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/68668
dc.language.isospa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.branchCRAI-USTA Bogotá
dc.publisher.facultyFacultad de Ingeniería Ambientalspa
dc.publisher.programPregrado de Ingeniería Ambientalspa
dc.relation.references​​Ayala-García, J., & Ospino-Ramos, K. (2023). Desastres naturales en Colombia: un análisis regional.
dc.relation.references​Beltran, G. X. (2023). Antecedentes, uso y aplicación de drones en Colombia como herramienta estratégica de análisis en la agricultura de precisión.
dc.relation.references​Congreso de Colombia. (2012). Ley 1523 de 2012. https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=47141
dc.relation.references​Connor, D. T., Wood, K., Martin, P. G., Goren, S., Megson-Smith, D., Verbelen, Y., Chyzhevskyi, I., Kirieiev, S., Smith, N. T., Richardson, T., & Scott, T. B. (2020). Radiological Mapping of Post-Disaster Nuclear Environments Using Fixed-Wing Unmanned Aerial Systems: A Study From Chornobyl. Frontiers in Robotics and AI, 6. https://doi.org/10.3389/frobt.2019.00149
dc.relation.references​Cultivating resilience through strong governance in Colombia | UNDRR. (2024, December 31). UNDRR. https://www.undrr.org/news/focus-cultivating-resilience-through-strong-governance-colombia
dc.relation.references​DJI DRON. (n.d.). Retrieved May 19, 2025, from https://www.djidron.com/dron-dji/matrice-300-rtk/matrice-300-rtk/?srsltid=AfmBOopV62k3Ipv647pU0XCCviRYwySOboUXqZFvXayJfTITOA--ajQT
dc.relation.references​Hashemi-Beni, L., Jones, J., Thompson, G., Johnson, C., & Gebrehiwot, A. (2018). Challenges and opportunities for UAV-based digital elevation model generation for flood-risk management: A case of Princeville, north Carolina. Sensors (Switzerland), 18(11). https://doi.org/10.3390/s18113843
dc.relation.references​Hewett, R., & Puangpontip, S. (2022). On Controlling Drones for Disaster Relief. Procedia Computer Science, 207, 3697–3706. https://doi.org/10.1016/j.procs.2022.09.430
dc.relation.references​Ishiwatari, M. (2024). Leveraging Drones for Effective Disaster Management: A Comprehensive Analysis of the 2024 Noto Peninsula Earthquake Case in Japan. Progress in Disaster Science, 23, 100348. https://doi.org/10.1016/J.PDISAS.2024.100348
dc.relation.references​Karaca, Y., Cicek, M., Tatli, O., Sahin, A., Pasli, S., Beser, M. F., & Turedi, S. (2018). The potential use of unmanned aircraft systems (drones) in mountain search and rescue operations. The American Journal of Emergency Medicine, 36(4), 583–588. https://doi.org/https://doi.org/10.1016/j.ajem.2017.09.025
dc.relation.references​Kraus, K. (2007). Photogrammetry Geometry from Images and Laser Scans.
dc.relation.references​Lim, S., Lee, I., Choi, G. S., Chae, J., Ashish, E., Ward, E., & Pu, C. (2025). FastPlan: A three-step framework for accelerating drone-centric search operations in post-disaster relief. Pervasive and Mobile Computing, 107, 102017. https://doi.org/10.1016/J.PMCJ.2025.102017
dc.relation.references​Lin, J., Wang, M., Yang, J., & Yang, Q. (2017). Landslide Identification and Information Extraction Based on Optical and Multispectral UAV Remote Sensing Imagery. IOP Conference Series: Earth and Environmental Science, 57(1). https://doi.org/10.1088/1755-1315/57/1/012017
dc.relation.references​Loosli Emily. (2024). Los mejores drones para topografía de fotogrametría: WingtraOne frente a otros drones | Wingtra.
dc.relation.references​Ma, O., & Xie, P. (2019). Unmanned vehicle systems and technologies for sensing and control. In Costas Armenakis (Ed.), Unmanned Vehicle Systems for Geomatics (pp. 67–131). http://ebookcentral.proquest.com/lib/bibliotecausta-ebooks/detail.action?docID=5769557.
dc.relation.references​Ministerio de Tecnologías de la Información y las Comunicaciones – MinTIC. (2023). Índice de Brecha Digital: Resultados 2022. Boletín IBD 2022. Bogotá D.C., Colombia. Recuperado de https://colombiatic.mintic.gov.co/679/w3-article-198029.html
dc.relation.references​Mohd Daud, S. M. S., Mohd Yusof, M. Y. P., Heo, C. C., Khoo, L. S., Chainchel Singh, M. K., Mahmood, M. S., & Nawawi, H. (2022). Applications of drone in disaster management: A scoping review. Science & Justice, 62(1), 30–42. https://doi.org/10.1016/J.SCIJUS.2021.11.002
dc.relation.references​NDAA-Compliant Drones & GCS for Mission-Critical Operations. (n.d.). Retrieved May 19, 2025, from https://www.unmannedsystemstechnology.com/company/vantage-robotics/
dc.relation.references​OCDE. (2019). Evaluación de la gobernanza del riesgo en Colombia. https://doi.org/10.1787/f4ff1a69-es
dc.relation.references​Phantom - Semi Professional Camera Drones - DJI. (n.d.). Retrieved May 19, 2025, from https://www.dji.com/products/phantom
dc.relation.references​Rottondi, C., Malandrino, F., Bianco, A., Chiasserini, C. F., & Stavrakakis, I. (2021). Scheduling of emergency tasks for multiservice UAVs in post-disaster scenarios. Computer Networks, 184, 107644. https://doi.org/10.1016/J.COMNET.2020.107644
dc.relation.references​Saldarriaga Guzman, V. H. (2024). Gestión del riesgo y medio ambiente con énfasis en drones.
dc.relation.references​Sanders, B. F. (2007). Evaluation of on-line DEMs for flood inundation modeling. Advances in Water Resources, 30(8), 1831–1843. https://doi.org/10.1016/J.ADVWATRES.2007.02.005
dc.relation.referencescopus - Analyze search results. (n.d.). Retrieved May 18, 2025, from https://www-scopus-com.crai-ustadigital.usantotomas.edu.co/term/analyzer.uri?sort=plf-f&src=s&sid=77ade889147be2cb2358701849075ace&sot=a&sdt=a&sl=44&s=TITLE-ABS-KEY%28%22natural+disaster%22+and+drones%29&origin=resultslist&count=10&analyzeResults=Analyze+results
dc.relation.references​Shi, Y., Yang, J., Han, Q., Song, H., & Guo, H. (2024). Optimal decision-making of post-disaster emergency material scheduling based on helicopter–truck–drone collaboration. Omega, 127, 103104. https://doi.org/10.1016/J.OMEGA.2024.103104
dc.relation.references​Sugita, S., Fukui, H., Inoue, H., Asahi, Y., & Furuse, Y. (2020). Quick and low-cost high resolution remote sensing using UAV and aircraft to address initial stage of disaster response. IOP Conference Series: Earth and Environmental Science, 509(1). https://doi.org/10.1088/1755-1315/509/1/012054
dc.relation.references​Sun, J., Zhuang, Y., & Xing, A. guo. (2024). Runout prediction of potential landslides based on the multi-source data collaboration analysis on historical cases. China Geology, 7(2), 264–276. https://doi.org/10.31035/CG2023138
dc.relation.references​Tinoco, L. (2022, August). The role of geospatial data in disaster risk reduction and emergency response. https://www.todaers.org/post/the-role-of-geospatial-data-in-disaster-risk-reduction-and-emergency-response
dc.relation.references​Ulfa, F., & Sartohadi, J. (2019). The Role of Small Format Aerial Photographs for First Response in Landslide Event. IOP Conference Series: Earth and Environmental Science, 338(1). https://doi.org/10.1088/1755-1315/338/1/012026
dc.relation.references​UNDRR. (2022). Definition: Disaster | UNDRR. UNDRR. https://www.undrr.org/terminology/disaster
dc.relation.references​Undrr. (2025). UNDRR 2024 Annual Report. https://www.undrr.org/contact-us
dc.relation.references​UNGRD. (2020). Conoce el Atlas de Riesgo de Colombia: revelando los desastres latentes. https://portal.gestiondelriesgo.gov.co/Paginas/Noticias/2020/Conoce-el-Atlas-de-Riesgo-de-Colombia-revelando-los-desastres-latentes.aspx
dc.relation.references​Unidad Administrativa Especial de Aeronáutica Civil. (2024). RAC 100.
dc.relation.references​Velásquez Pardo, L. J., & Montes Muñoz, P. L. (2014). Análisis estadístico de los eventos catastróficos de origen natural ocurridos en Colombia entre los años 2000 y 2011, soportado en el sistema de información SIDHMA Unisalle. Universidad de La Salle. Facultad de Ingeniería. Ingeniería Ambiental y Sanitaria. https://hdl.handle.net/20.500.14625/21456
dc.relation.references​Zwegliński, T. (2020). The use of drones in disaster aerial needs reconnaissance and damage assessment-Three-dimensional modeling and orthophoto map study. Sustainability (Switzerland), 12(15). https://doi.org/10.3390/su12156080
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Colombiaen
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.keywordDisaster
dc.subject.keywordRisk management
dc.subject.keywordDrone
dc.subject.keywordPhotogrammetry
dc.subject.keywordOrthophoto
dc.subject.keywordLandslide
dc.subject.keywordFlood
dc.subject.lembIngeniería ambiental
dc.subject.lembDeslizamientos de tierra
dc.subject.lembTecnología geoespacial
dc.subject.proposalDesastre
dc.subject.proposalGestión del riesgo
dc.subject.proposalDron
dc.subject.proposalFotogrametría
dc.subject.proposalOrtofoto
dc.subject.proposalDeslizamiento
dc.subject.proposalInundación
dc.titleUso de Drones en la Gestión de Inundaciones y Deslizamientos para Colombia
dc.typebachelor thesis
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.driveinfo:eu-repo/semantics/bachelorThesis
dc.type.localTrabajo de Gradospa
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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