Publication:
Análisis multitemporal de inundaciones en el municipio de Puerto Wilches, a partir de datos geoespaciales en Google Earth Engine

Thumbnail Image
Files

Files

Puentes, Carlos-2025.pdf (24.61 MB)
 Autorización.pdf (916.47 KB)
View Statistics
Reference Managers
Mendeley
Indexers
Google Scholar CORE
QR Code
QR Code
Authors

Authors

Puentes Romero, Carlos Alberto
Abstract (Spanish)
En el presente trabajo se realiza un análisis multitemporal de la extensión de las inundaciones ocurridas en el municipio de Puerto Wilches en un área de 1482 km2, entre el año 2017 y 2023, detallando los análisis para cinco sectores: Rio Sogamoso, Manatí-Blanco, Yarirí-Montecristo, Caño Peruétano y La Grande en Lebrija.
Abstract (English)
In this paper, it is presented a multitemporal analysis of the extent of flooding in the municipality of Puerto Wilches in an area of 1482 km2, between 2017 and 2023, detailing the analysis for five sectors: Rio Sogamoso, Manatí-Blanco, Yarirí-Montecristo, Caño Peruétano and La Grande in Lebrija.
Extent
186 páginas
URI: https://repositorio.escuelaing.edu.co/handle/001/3589
Collections

Collections

CF - Trabajos de Grado Maestría en Ingeniería Civil
References

OECD (2016), Financial Management of Flood Risk, OECD Publishing, Paris. http://dx.doi.org/10.1787/9789264257689-en.

Instituto de Hidrología, Meteorologia y Estudios Ambientales – IDEAM (2017). Plan estratégico de la red hidrológica, meteorológica y ambiental. Bogotá D.C., Colombia.

Unidad Nacional para la Gestión del Riesgo de Desastres – UNGRD (2019). Atlas de Riesgo de Colombia: revelando los desastres latentes. Bogotá D.C., Colombia. ISBN: 978-958-5509-17-7.

Guía Técnica para la Formulación de los Planes de Ordenación y Manejo de Cuencas Hidrográficas / Coordinador: Pineda González, Claudia Patricia; autores: Olaya Ospina, Edgar; Tosse Luna, Oscar Darío … [et. ál.]. -- Bogotá, D.C.: Colombia. Ministerio de Ambiente y Desarrollo Sostenible, 2014.

Di Baldassarre, G., Kooy, M., Kemerink, J. S., & Brandimarte, L. (2013). Towards understanding the dynamic behaviour of floodplains as human-water systems. Hydrology and Earth System Sciences, 17(8), 3235– 3244. https://doi.org/10.5194/hess-17-3235-2013

Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031

Kumar, L., & Mutanga, O. (2018). Google Earth Engine applications since inception: Usage, trends, and potential. Remote Sensing, 10(10). https://doi.org/10.3390/rs10101509

Mehmood, H., Conway, C., & Perera, D. (2021). Mapping of flood areas using landsat with google earth engine cloud platform. Atmosphere, 12(7), 1–16. https://doi.org/10.3390/atmos12070866

Nghia, B. P. Q., Pal, I., Chollacoop, N., & Mukhopadhyay, A. (2022). Applying Google earth engine for flood mapping and monitoring in the downstream provinces of Mekong river. Progress in Disaster Science, 14, 100235. https://doi.org/10.1016/j.pdisas.2022.100235

Selami Shaqiri, M., Iljazi, T., Kamberi, L., Shaqiri, M., & Ramani -halili, R. (2023). DIFFERENCES BETWEEN THE CORRELATION COEFFICIENTS DIFFERENCES BETWEEN THE CORRELATION COEFFICIENTS PEARSON, KENDALL AND SPEARMAN. http://ikm.mk/ojs/index.php/kij/issue/view/154

Sogno, P., Klein, I., & Kuenzer, C. (2022). Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review. In Remote Sensing (Vol. 14, Issue 10). MDPI. https://doi.org/10.3390/rs14102475

Wu, Q., Lane, C. R., Li, X., Zhao, K., Zhou, Y., Clinton, N., DeVries, B., Golden, H. E., & Lang, M. W. (2019). Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine. Remote Sensing of Environment, 228, 1–13. https://doi.org/10.1016/j.rse.2019.04.015