Use of Unmanned Aerial Vehicles (drones) for the Collection of Primary Information in Environmental Studies by Environmental Consultants

Authors

DOI:

https://doi.org/10.18041/1794-4953/avances.1.7575

Keywords:

Drones, Multitemporal Analysis, Digital Elevation Models, Orthophototomosacs

Abstract

In Colombia, the use of unmanned aerial vehicles (drones) has been limited to basic activities such as preliminary visits to areas or obtaining orthophotonosics and digital elevation models; but the need to expand its use has been raised. This article presents the appropriation of this technology by some environmental consultants in the determination of the environmental baseline, based on the results derived from a consultation with different consulting companies that specialize in the formation and evaluation of environmental plans aimed at territorial entities as a requirement in the design of civil works. The results show that the greatest use of drones occurs in environmental impact studies (31.3%) and in environmental management plans (25%). On the other hand, the results showed that 71.4% of the companies surveyed are unaware of the possibilities of improving the most commercial model of drones, both in the variety of sensors and accessories as well as software that allow faster data transmission or better image resolution. In this sense, this work points out some specific cases in the study topics of the companies surveyed, in order to generate interest in promoting their drones.

Downloads

Download data is not yet available.

References

H. Pérez, E. Benítez y M. Díaz, “Sistema de georreferenciado de imágenes con drones”, Ra Ximhai, vol. 13, n.º 33, pp. 65-77, 2017. [En línea]. Disponible: https://www.redalyc.org/pdf/461/46154070004.pdf

E. M. Sánchez-Ortega, A. Hernández-Calette y A. Hernández-Montes, “Influence of locust bean and xanthan gums on the stability and acceptability of dairy cream”, Ing. Agrícola y Biosist., vol. 9, n.º 2, pp. 63-84, 2017. https://doi.org/10.5154/r.inagbi.2017.04.008

G. Macrina, L. Di Puglia Pugliese, F. Guerriero y G. Laporte, “Drone-aided routing: a literature review”, Transp. Res. Part C Emerg. Technol., vol. 120, n.º September, p. 102762, 2020. https://doi.org/10.1016/j.trc.2020.102762

M. Andreetto, M. Pacher, D. Fontanelli y D. Macii, “A cooperative monitoring technique using visually servoed drones”, 2015 IEEE Work. Environ. Energy, Struct. Monit. Syst. EESMS 2015 - Proc., pp. 244-249, 2015. https://doi.org/10.1109/EESMS.2015.7175885

M. Sajid, Y. J. Yang, G. B. Kim y K. H. Choi, “Remote monitoring of environment using multi-sensor wireless node installed on quad-copter drone”, IRIS 2016 - 2016 IEEE 4th Int. Symp. Robot. Intell. Sensors Empower. Robot. with Smart Sensors, n.º December, pp. 213-216, 2017. https://doi.org/10.1109/IRIS.2016.8066093

R. Thomazella et al., “Environmental monitoring using drone images and convolutional neural networks", IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 8941-8944, 2018.

A. Koval, E. Irigoyen y T. Koval, “AR.Drone as a platform for measurements”, 2017 IEEE 37th Int. Conf. Electron. Nanotechnology, ELNANO 2017 - Proc., pp. 424-427, 2017. https://doi.org/10.1109/ELNANO.2017.7939812

V. Sprincean, A. Paladi, T. Bulimaga y F. Paladi, “UVS in monitoring of environmental factors”, 2020 IEEE Int. Work. Metrol. AeroSpace, Metroaerosp. 2020 - Proc., n.º 20, pp. 78-83, 2020. https://doi.org/10.1109/MetroAeroSpace48742.2020.9160057

L. Molina, “Monitoreo de obra mediante modelos digitales de elevación generados por fotogrametría con drones”, tesis de grado, Universidad de los Andes, Bogotá, Colombia, 2019. [En línea]. Disponible: http://hdl.handle.net/1992/45465

Z. kavoosi, M. H. Raoufat, M. Dehghani, J. Abdolabbas, S. A. Kazemeini y M. J. Nazemossadat, “Feasibility of satellite and drone images for monitoring soil residue cover”, J. Saudi Soc. Agric. Sci., vol. 19, n.º 1, pp. 56-64, 2020. https://doi.org/10.1016/j.jssas.2018.06.001

S. Wu et al., “Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations”, ISPRS J. Photogramm. Remote Sens., vol. 171, pp. 36-48, 2021. https://doi.org/10.1016/j.isprsjprs.2020.10.017

D. Yallappa, M. Veerangouda, M. Devanand, P. Vijayakumar y M. Bheemanna, “Development and evaluation of drone mounted sprayer for pesticide applications to crops”, 2017 IEEE Global Humanitarian Technology Conference (GHTC), pp. 1-7, 2017. https://doi.org/10.1109/GHTC.2017.8239330

S. D. Shelare, K. R. Aglawe, S. N. Waghmare y P. N. Belkhode, “Advances in water sample collections with a drone - A review”, Mater. Today Proc., vol. 47, parte 14, pp. 4490-4494, 2021. https://doi.org/10.1016/j.matpr.2021.05.327

A. Castellini, D. Bloisi, J. Blum, F. Masillo y A. Farinelli, “Multivariate sensor signals collected by aquatic drones involved in water monitoring: A complete dataset”, Data Br., vol. 30, 2020. https://doi.org/10.1016/j.dib.2020.105436

D. Stokes, K. Apps, P. A. Butcher, B. Weiler, H. Luke y A. P. Colefax, “Beach-user perceptions and attitudes towards drone surveillance as a shark-bite mitigation tool”, Mar. Policy, vol. 120, n.º April, p. 104127, 2020. https://doi.org/10.1016/j.marpol.2020.104127

A. Kumar, R. Krishnamurthi, A. Nayyar, A. K. Luhach, M. S. Khan y A. Singh, “A novel Software-Defined Drone Network (SDDN)-based collision avoidance strategies for on-road traffic monitoring and management”, Veh. Commun., vol. 28, p. 100313, 2021. https://doi.org/10.1016/j.vehcom.2020.100313

N. Zhang, H. Liu, B. F. Ng y K. H. Low, “Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning”, Transp. Res. Part C Emerg. Technol., vol. 120, n.º July, p. 102736, 2020. https://doi.org/10.1016/j.trc.2020.102736

Y. Zhang, D. He, L. Li y B. Chen, “A lightweight authentication and key agreement scheme for Internet of Drones”, Comput. Commun., vol. 154, n.º January, pp. 455-464, 2020. https://doi.org/10.1016/j.comcom.2020.02.067

L. Weng, Y. Zhang, Y. Yang, M. Fang y Z. Yu, “A mobility compensation method for drones in SG-eIoT”, Digit. Commun. Networks, n.º November 2019, pp. 0-4, 2020. https://doi.org/10.1016/j.dcan.2020.07.011

S. O. Al-Jazzar e Y. Jaradat, “AOA-based drone localization using wireless sensor-doublets”, Phys. Commun., vol. 42, p. 101160, 2020. https://doi.org/10.1016/j.phycom.2020.101160

B. Bera, D. Chattaraj y A. K. Das, “Designing secure blockchain-based access control scheme in IoT-enabled Internet of Drones deployment”, Comput. Commun., vol. 153, n.º November 2019, pp. 229-249, 2020. https://doi.org/10.1016/j.comcom.2020.02.011

K. Skiadopoulos, K. Giannakis, A. Tsipis, K. Oikonomou y I. Stavrakakis, “Impact of drone route geometry on information collection in wireless sensor networks”, Ad Hoc Networks, vol. 106, p. 102220, 2020. https://doi.org/10.1016/j.adhoc.2020.102220

A. V. Savkin and H. Huang, “Navigation of a network of aerial drones for monitoring a frontier of a moving environmental disaster area”, IEEE Syst. J., vol. 14, n.º 4, pp. 4746-4749, 2020. https://doi.org/10.1109/JSYST.2020.2966779

J. Baeza, D. Valencia y A. Baeza, “Use of drones for remote management of the close measure of radioactivity sources”, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, vol. 8, pp. 7914-7917, 2018.

D. Terutsuki, T. Uchida, C. Fukui, Y. Sukekawa, Y. Okamoto y R. Kanzaki, “Real-time odor concentration and direction recognition for efficient odor source localization using a small bio-hybrid drone”, Sensors Actuators, B Chem., vol. 339, n.º February, p. 129770, 2021. https://doi.org/10.1016/j.snb.2021.129770

W. J. Yun, S. Jung, J. Kim y J. H. Kim, “Distributed deep reinforcement learning for autonomous aerial eVTOL mobility in drone taxi applications”, ICT Express, vol. 7, n.º 1, pp. 1-4, 2021. https://doi.org/10.1016/j.icte.2021.01.005

S. Mandujano, M. Mulero-Pázmany y A. Rísquez-Valdepeña, “Drones: una nueva tecnología para el estudio y monitoreo de fauna y hábitats”, Agroproductividad, vol. 10, pp. 79-84, 2017.

J. Fernández y G. Gutiérrez, “Aplicaciones geológicas de los drones”, Rev. Soc. Geol. Esp., vol. 29, n.º 1, pp. 89-105, 2016.

G. Acosta, E. McClung, G. Jiménez y V. H. García, “Using photogrammetry through unmanned aerial vehicles (UAV) as a risk assessment tool: the archaeological chinampas of xochimilco”, Rev. Esp. Antropol. Am., vol. 47, pp. 185-197, 2017. https://doi.org/10.5209/REAA.61978

M. . Villasmil Molero, «Partidas contables vinculadas a la gestión ambiental: una aproximación según estándares internacionales de información financiera», Dict. Libre, n.º 29: Julio-Diciembre, ago. 2021. https://doi.org/10.18041/2619-4244/dl.29.7857

J. J. Kim, I. Kim y J. Hwang, “A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19”, Int. J. Hosp. Manag., vol. 93, n.º September 2020, p. 102758, 2021. https://doi.org/10.1016/j.ijhm.2020.102758

Downloads

Published

2022-02-18

How to Cite

Use of Unmanned Aerial Vehicles (drones) for the Collection of Primary Information in Environmental Studies by Environmental Consultants . (2022). Avances: Investigación En Ingeniería, 19(1 (Enero-Junio). https://doi.org/10.18041/1794-4953/avances.1.7575

Most read articles by the same author(s)