Quick and concise land boundary mapping using a drone at Villa Buccu, Kerobokan, Badung, Bali

https://doi.org/10.21744/irjeis.v8n5.2182

Authors

  • Gede Yasada Civil Engineering Department, Bali State of Politechnic, Bukit Jimbaran, Badung-Bali, Indonesia
  • Ketut Sutapa Civil Engineering Department, Bali State of Politechnic, Bukit Jimbaran, Badung-Bali, Indonesia
  • Evin Yudhi Setyono Civil Engineering Department, Bali State of Politechnic, Bukit Jimbaran, Badung-Bali, Indonesia

Keywords:

drone, GPS, ground control point, land boundary, mapping provisions

Abstract

The effective measurement and mapping of the land is retrieval of accurate data according to position, in accordance with mapping provisions and efficient in both cost and time. One way that data can be retrieved effectively and efficiently is by using a drone, commonly called an unmanned aerial vehicle (UAV).Drone is a vehicle equipped with a wave control system, precision navigation (Global Positioning System/GPS) and flight control electronics so that it is able to fly according to flight planning (autopilot). This drone makes it possible to track the position and orientation of sensors implemented in local or global coordinate systems.  With the drone itself, it saves time because it can have an image of an area. Premark / Ground Control Point (GCP) is a point that is commonly used to improve measurement accuracy in mapping using drones, in this case using the Global Positioning System (GPS) Geodetic / RTK Hi Target tool. Mapping Using Drones was then used by many people, including for the purposes of villa spatial planning, so to support this activity a land boundary mapping was carried out at Villa Buccu, Kerobokan, Badung Bali. 

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References

Agüera-Vega, F., Carvajal-Ramírez, F., & Martínez-Carricondo, P. (2017). Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle. Measurement, 98, 221-227. https://doi.org/10.1016/j.measurement.2016.12.002

Antara, G. K. J. (2015). The use of peripherals in working area. International Research Journal of Management, IT and Social Sciences, 2(5), 6-19. Retrieved from https://sloap.org/journals/index.php/irjmis/article/view/307

Guang, Y., & Weili, J. (2011). Research on impact of ground control point distribution on image geometric rectification based on voronoi diagram. Procedia Environmental Sciences, 11, 365-371. https://doi.org/10.1016/j.proenv.2011.12.059

Kansanga, M. M., Arku, G., & Luginaah, I. (2019). Powers of exclusion and counter-exclusion: The political ecology of ethno-territorial customary land boundary conflicts in Ghana. Land use policy, 86, 12-22. https://doi.org/10.1016/j.landusepol.2019.04.031

Kuemmerle, T., Erb, K., Meyfroidt, P., Müller, D., Verburg, P. H., Estel, S., ... & Reenberg, A. (2013). Challenges and opportunities in mapping land use intensity globally. Current opinion in environmental sustainability, 5(5), 484-493. https://doi.org/10.1016/j.cosust.2013.06.002

Kumar, R., & Agrawal, A. K. (2021). Drone GPS data analysis for flight path reconstruction: A study on DJI, Parrot & Yuneec make drones. Forensic Science International: Digital Investigation, 38, 301182. https://doi.org/10.1016/j.fsidi.2021.301182

Kusmiarto, K. (2017). Problematika Pembenahan Data Spasial Bidang Tanah Di Kementerian Agraria Dan Tata Ruang/Badan Pertanahan Nasional.

Martínez-Carricondo, P., Agüera-Vega, F., Carvajal-Ramírez, F., Mesas-Carrascosa, F. J., García-Ferrer, A., & Pérez-Porras, F. J. (2018). Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points. International journal of applied earth observation and geoinformation, 72, 1-10. https://doi.org/10.1016/j.jag.2018.05.015

Mogili, U. R., & Deepak, B. B. V. L. (2018). Review on application of drone systems in precision agriculture. Procedia computer science, 133, 502-509. https://doi.org/10.1016/j.procs.2018.07.063

Nath, N. D., Cheng, C. S., & Behzadan, A. H. (2022). Drone mapping of damage information in GPS-Denied disaster sites. Advanced Engineering Informatics, 51, 101450. https://doi.org/10.1016/j.aei.2021.101450

Prayogo, I. P. H., Manoppo, F. J., & Lefrandt, L. I. (2020). Pemanfaatan teknologi unmanned aerial vehicle (uav) quadcopter dalam pemetaan digital (fotogrametri) menggunakan kerangka ground control point (GCP). Jurnal Ilmiah Media Engineering, 10(1).

Sullivan, L. (2019). Hypothesis testing-analysis of variance (ANOVA). Boston University School of Public Health.

Wesnawa, I. G. A., & Sudirta, I. G. (2017). Management of boundary areas based on Nyamabraya values. International Journal of Linguistics, Literature and Culture, 3(5), 63-71. Retrieved from https://sloap.org/journals/index.php/ijllc/article/view/224

Yanmaz, E., Yahyanejad, S., Rinner, B., Hellwagner, H., & Bettstetter, C. (2018). Drone networks: Communications, coordination, and sensing. Ad Hoc Networks, 68, 1-15. https://doi.org/10.1016/j.adhoc.2017.09.001

Yuntarto, H. (2017). Faktor–Faktor Yang Mempengaruhi Implementasi Rencana Strategis Kementerian Agraria Dan Tata Ruang/Badan Pertanahan Nasional Dalam Bidang Pendaftaran Tanah (Studi Pada Kantor Pertanahan Kabupaten Bantul Provinsi Daerah Istimewa Yogyakarta) (Doctoral dissertation, Universitas Brawijaya).

Zarco-Tejada, P. J., Diaz-Varela, R., Angileri, V., & Loudjani, P. (2014). Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods. European journal of agronomy, 55, 89-99. https://doi.org/10.1016/j.eja.2014.01.004

Published

2022-09-10

How to Cite

Yasada, G., Sutapa, K., & Setyono, E. Y. (2022). Quick and concise land boundary mapping using a drone at Villa Buccu, Kerobokan, Badung, Bali. International Research Journal of Engineering, IT & Scientific Research, 8(5), 187–196. https://doi.org/10.21744/irjeis.v8n5.2182

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Section

Research Articles