Analysis of visual impact by new building height through UAVs and photogrammetry
Abstract
Visual impact is defined as the modification of a visual resource of the landscape, generating an effect on the perception of potential observers. This effect is evaluated using the value of the landscape that has not been altered or destroyed (visual quality of the landscape), as is the case with building projects that generate visible changes in residential areas. Numerous authors have developed methodologies to evaluate visual intrusion; however, deficiencies exist, such as the predominance of subjectivity in procedures and the lack of evaluations for buildings. Therefore, this paper proposes a methodology to evaluate and quantify the visual impact of a new building in a high population density environment. This research is divided into a description of the basic methodology, the proposal of the methodology to capture and process photographs and information, and the application of a case study of a high-rise building in a sector of Valparaíso, Chile. The main contribution of this work is the delivery of a methodological proposal that allows the evaluation and quantification of the visual quality before and after the new structure to complement structural and urban design.
Keyword : visual impact, UAVs, high-rise building, landscape visual quality, new building, photogrammetry
How to Cite
Gutiérrez-Peña, J., Herrera, R. F., Atencio, E., & Muñoz-La Rivera, F. (2024). Analysis of visual impact by new building height through UAVs and photogrammetry. Journal of Civil Engineering and Management, 30(3), 248–263. https://doi.org/10.3846/jcem.2024.20957
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Craveiro, F., Duarte, J. P., Bartolo, H., & Bartolo, P. J. (2019). Additive manufacturing as an enabling technology for digital construction: A perspective on Construction 4.0. Automation in Construction, 103, 251–267. https://doi.org/10.1016/j.autcon.2019.03.011
Czynska, K. (2019). Impact of tall buildings on urban views – The European approach. IOP Conference Series: Materials Science and Engineering, 471(9), Article 092047. https://doi.org/10.1088/1757-899X/471/9/092047
De Mattos, C. (2018). Encrucijada ante los impactos críticos de un crecimiento urbano financiarizado (No. 4). Santiago de Chile.
del Val Román, J. L. (2012). Industria 4.0. La transformación digital de la industria Española.
Dentoni, V., Grosso, B., Massacci, G., & Soddu, G. P. (2020). Visual impact evaluation of mines and quarries: the updated Lvi method. Environmental Earth Sciences, 79(5), Article 100. https://doi.org/10.1007/s12665-020-8833-8
Dupont, Q. F. M., Chua, D. K. H., Tashrif, A., & Abbott, E. L. S. (2017). Potential applications of UAV along the construction’s value chain. Procedia Engineering, 182(3), 165–173. https://doi.org/10.1016/j.proeng.2017.03.155
Escribano, M. del M., de Frutos, M., Iglesias, E., & Mataix, I. (1989). El paisaje. ETSI Montes, Madrid.
Fernandez Enríquez, A., Arcila Garrido, M., & García Sanabria, J. (2019). Metodología de valoración de impacto visual. Aplicación en la playa de el Palmar de Vejer (Cádiz) (Universidad de Cádiz). Universidad de Cádiz. https://doi.org/10.1017/CBO9781107415324.004
Jeong, J. S., García-Moruno, L., Hernández-Blanco, J. (2014). Un modelo web para la asistencia en la toma de decisiones en la integración de las construcciones rurales mediante planificación espacial multi-criterio. Informes de La Construcción, 66, Article e004. https://doi.org/10.3989/ic.13.001
Karimimoshaver, M., Hajivaliei, H., Shokri, M., Khalesro, S., Aram, F., & Shamshirband, S. (2020). A model for locating tall buildings through a visual analysis approach. Applied Sciences, 10(17), Article 6072. https://doi.org/10.3390/app10176072
Karimimoshaver, M., & Winkemann, P. (2018). A framework for assessing tall buildings’ impact on the city skyline: Aesthetic, visibility, and meaning dimensions. Environmental Impact Assessment Review, 73, 164–176. https://doi.org/10.1016/j.eiar.2018.08.007
Lladó, M. (2016). Crecimiento inmobiliario en el Borde Costero de Valparaíso. Universidad de Chile.
Manchado del Val, C. (2015). Análisis de criterios de visibilidad e impacto visual. Metodología de uso en proyectos de infraestructuras (Vol. 12). Universidad de Cantabria. https://doi.org/10.1143/JJAP.12.881
Mavrommatis, E., & Menegaki, M. (2017). Setting rehabilitation priorities for abandoned mines of similar characteristics according to their visual impact: The case of Milos Island, Greece. Journal of Sustainable Mining, 16(3), 104–113. https://doi.org/10.1016/j.jsm.2017.10.003
Montoya Ayala, R., Padilla Ramírez, J., & Standford Camargo, S. (2003). Valoración de la calidad y fragilidad visual del paisaje en el estado de México. México: Múltiples Enfoques, Múltiples Territorios, 35, 123–136.
Moudrý, V., Beková, A., & Lagner, O. (2019). Evaluation of a high resolution UAV imagery model for rooftop solar irradiation estimates. Remote Sensing Letters, 10(11), 1077–1085. https://doi.org/10.1080/2150704X.2019.1649735
Muñoz-La Rivera, F., Mora-Serrano, J., Valero, I., & Oñate, E. (2020). Methodological-technological framework for construction 4.0. Archives of Computational Methods in Engineering, 28, 689–711. https://doi.org/10.1007/s11831-020-09455-9
Paredes, D. S., & Noguera, A. M. B. (2015). Los Drones y sus aplicaciones a la ingeniería civil. In Los drones y sus aplicaciones a la ingeniería civil (pp. 77–94). Madrid, Spain.
Radulescu, M., & Vladareanu, V. (2017). Aerial photography and the use of photo cameras attached to drones. Scientific Research and Education in the Air Force, 19(1), 201–206. https://doi.org/10.19062/2247-3173.2017.19.1.22
Saadatseresht, M., Hashempour, A. H., & Hasanlou, M. (2015). UAV photogrammetry: A practical solution for challenging mapping projects. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(1W5), 619–623. https://doi.org/10.5194/isprsarchives-XL-1-W5-619-2015
Samavatekbatan, A., Gholami, S., & Karimimoshaver, M. (2016). Assessing the visual impact of physical features of tall buildings: Height, top, color. Environmental Impact Assessment Review, 57, 53–62. https://doi.org/10.1016/j.eiar.2015.11.008
Sepúlveda Manterola, J. S., & Torres Rojas, E. (2004). Barrio, comunidad y patrimonio cultural. Un estudio cualitativo sobre los habitantes de los cerros Alegre y Concepción de Valparaíso. Universidad de Chile.
Servicio de Evaluación Ambiental. (2017). Guía para la descripción del Área de Influencia. Gobierno de Chile.
Suroso, I., & Irmawan, E. (2019). Analysis of UAV multicopter of air photography in New Yogyakarta International Airports. TELKOMNIKA (Telecommunication Computing Electronics and Control), 17(1), 521–528. https://doi.org/10.12928/TELKOMNIKA.v17i1.9255
Tkáč, M., & Mésároš, P. (2019). Utilizing drone technology in the civil engineering. Selected Scientific Papers - Journal of Civil Engineering, 14(1), 27–37. https://doi.org/10.1515/sspjce-2019-0003
Vega, M. A. (2012). Aspectos y avances en ciencia, tecnología e innovación. Revista de La Universidad Bolivariana, Polis, 11(33), 451–470. https://doi.org/10.4067/s0718-65682012000300022
Wefelscheid, C., Hänsch, R., & Hellwich, O. (2012). Three-dimensional building reconstruction using images obtained by unmanned aerial vehicles. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-1/C22, 183–188. https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-183-2011
Zubelzu, S., & Hernández, A. (2015). Método de valoración de paisajes forestales basado en el uso de atributos estéticos como variables explicativas de las preferencias. Madera Bosques, 21(1), 45–62. https://doi.org/10.21829/myb.2015.211432