LEVERAGING THE UBIQUITOUS GPS SENSOR ON THE SMARTPHONES FOR ACCESSIBLE LAND SURVEYING

Ahmad Dhuha  Habibullah; Elfi  Yuliza; Ismail Fahmy  Almadi; Yazid Ismi  Intara; Riska Ekawita

doi:10.29303/ipr.v8i2.361

LEVERAGING THE UBIQUITOUS GPS SENSOR ON THE SMARTPHONES FOR ACCESSIBLE LAND SURVEYING

Authors

Ahmad Dhuha Habibullah , Elfi Yuliza , Ismail Fahmy Almadi , Yazid Ismi Intara , Riska Ekawita

DOI:

10.29303/ipr.v8i2.361

Published:

2025-02-02

Issue:

Vol. 8 No. 2 (2025)

Keywords:

GPS, Land surveying, Smartphone, Low cost

Articles

Downloads

PDF

How to Cite

Habibullah, A. D. ., Yuliza, E. ., Almadi, I. F. ., Intara, Y. I. ., & Ekawita, R. (2025). LEVERAGING THE UBIQUITOUS GPS SENSOR ON THE SMARTPHONES FOR ACCESSIBLE LAND SURVEYING. Indonesian Physical Review, 8(2), 366–376. https://doi.org/10.29303/ipr.v8i2.361

Download Citation

Abstract

The Global Positioning System (GPS) is an essential tool in land surveying. GPS has become an alternative method of surveying that requires less manpower and less time. However, GPS devices are still expensive to buy, especially for students. On the other hand, almost every student has a smartphone with a built-in GPS sensor, so this GPS is certainly accessible to everyone with a smartphone. This study used a smartphone's GPS to conduct land surveying at the campus of Bengkulu University. This smartphone’s GPS was used to track various parameters such as coordinates, elevation, and distance between two or more points to calculate the area within the study area. The innovative method of using the built-in GPS sensor in smartphones will provide convenience for users and introduce simplified open-source software for the land measurement process. The measurement was calibrated using a conventional roll meter to verify the linear error by comparing the two measurements between the smartphone’s GPS and roll meter. The smartphone’s GPS reading was logged using GPS Waypoints and My Tracks, free Android applications on the Google Play store. This study's average error in measurements obtained using GPS on smartphones was 3.02%. This value is sufficient for the initial stage of low-cost land surveys and falls within ideal conditions for GPS measurements. Therefore, this article emphasizes the potential of smartphone GPS to optimize techniques in education and scientific investigations.

References

C. Lin, J. Xu, R. Ma, X. Duan, N. Liu, and X. Hou, “A mobile client-oriented to subjective and objective information collection for township land resources surveying,” Ecol. Inform., vol. 60, no. September, p. 101173, 2020.

S. D. Chekole, “Surveying with GPS, total station and terrestrial laser scanner: a comparative study,” MSc Thesis Sch. Archit. Built Environ. R. Inst. Technol., no. 3131, pp. 1–55, 2014.

J. Liu, L. Wei, D. Ettema, and M. Helbich, “Green commutes: Assessing the associations between green space exposure along GPS-track commuting routes and adults’ self-perceived stress,” Sustain. Cities Soc., vol. 112, 2024.

J. Sykes, J. Hendrikx, J. Johnson, and K. W. Birkeland, “Combining GPS tracking and survey data to better understand travel behavior of out-of-bounds skiers,” Appl. Geogr., vol. 122, no. June, 2020.

S. Swanepoel, T. J. Scheckle, and D. Marlin, “Implementing land-based litter surveys through visual inspection of imagery using unmanned aerial vehicles,” Environ. Challenges, vol. 13, no. May, 2023.

A. Lago, S. Patel, and A. Singh, “Low-cost real-time aerial object detection and GPS location tracking pipeline,” ISPRS Open J. Photogramm. Remote Sens., vol. 13, no. May, 2024.

M. Bohušík, M. Císar, V. Bulej, M. Bartoš, V. Stenchlák, and D. Wiecek, “Design of a beehive monitoring system with GPS location tracking,” Transp. Res. Procedia, vol. 74, pp. 916–923, 2023.

P. Sadeghian, J. Håkansson, and X. Zhao, “Review and evaluation of methods in transport mode detection based on GPS tracking data,” J. Traffic Transp. Eng. (English Ed., vol. 8, no. 4, pp. 467–482, 2021.

M. R. James and J. N. Quinton, “Ultra-rapid topographic surveying for complex environments: The hand-held mobile laser scanner (HMLS),” Earth Surf. Process. Landforms, vol. 39, no. 1, pp. 138–142, 2014.

N. Minallah, W. Khan, M. Zeeshan, and T. Ahmad, “GeoSurvey: A cloud-based mobile app for efficient land surveys and big data collection,” Softw. Impacts, vol. 19, no. January, pp. 0–5, 2024.

G. Lue and E. J. Miller, “Estimating a Toronto pedestrian route choice model using smartphone GPS data,” Travel Behav. Soc., vol. 14, no. September 2018, pp. 34–42, 2019.

T. Stewart, J. Schipperijn, B. Snizek, and S. Duncan, “Adolescent school travel: Is online mapping a practical alternative to GPS-assessed travel routes?,” J. Transp. Heal., vol. 5, pp. 113–122, 2017.

M. J. Shafei and M. M. Hossainali, “Application of the GPS reflected signals in tomographic reconstruction of the wet refractivity in Italy,” J. Atmos. Solar-Terrestrial Phys., vol. 207, p. 105348, 2020.

B. S. Walter and J. J. Schultz, “Mapping simulated scenes with skeletal remains using differential GPS in open environments: An assessment of accuracy and practicality,” Forensic Sci. Int., vol. 228, no. 1–3, pp. e33–e46, 2013.

P. Ellis, B. Griscom, W. Walker, F. Gonçalves, and T. Cormier, “Mapping selective logging impacts in Borneo with GPS and airborne lidar,” For. Ecol. Manage., vol. 365, pp. 184–196, 2016.

M. Bergé-Nguyen et al., “Mapping mean lake surface from satellite altimetry and GPS kinematic surveys,” Adv. Sp. Res., vol. 67, no. 3, pp. 985–1001, 2021.

Kamruzzaman, T. Islam, and S. R. Poddar, “Accuracy of handheld GPS comparing with total station in land use survey: a case study in RUET campus.,” Int. J. Innov. Appl. Stud., vol. 7, no. 1, pp. 343–352, 2014, [Online]. Available: http://www.ijias.issr-journals.org/abstract.php?article=IJIAS-14-180-02

A. C. Prelipcean and T. Yamamoto, “Workshop Synthesis: New developments in travel diary collection systems based on smartphones and GPS receivers,” Transp. Res. Procedia, vol. 32, pp. 119–125, 2018.

P. R. Stopher, V. Daigler, and S. Griffith, “Smartphone app versus GPS Logger: A comparative study,” Transp. Res. Procedia, vol. 32, pp. 135–145, 2018.

G. Software, “Surfer Overview,” Golden Sofware, 2019. https://www.goldensoftware.com/products/surfer (accessed Mar. 25, 2019).

T. Szot, C. Specht, M. Specht, and P. S. Dabrowski, “Comparative analysis of positioning accuracy of Samsung Galaxy smartphones in stationary measurements,” PLoS One, vol. 14, no. 4, pp. 1–19, 2019.

N. Micheletti, J. H. Chandler, and S. N. Lane, “Investigating the geomorphological potential of freely available and accessible structure-from-motion photogrammetry using a smartphone,” Earth Surf. Process. Landforms, vol. 40, no. 4, pp. 473–486, 2015.

Y. Murayama and S. Dassanayake, “Fundamentals of Surveying: Theory and Samples Exercises,” in Graduate School Life and Environment Sciences University of Tsukuba, pp. 109–128.

F. Seraj, B. J. Van Der Zwaag, A. Dilo, T. Luarasi, and P. Havinga, “Roads: A road pavement monitoring system for anomaly detection using smart phones,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9546, pp. 128–146, 2016.

L. Joseph, A. Neven, K. Martens, O. Kweka, G. Wets, and D. Janssens, “Measuring individuals’ travel behaviour by use of a GPS-based smartphone application in Dar es Salaam, Tanzania,” J. Transp. Geogr., vol. 88, no. June, p. 102477, 2020.

S. Korpilo, T. Virtanen, and S. Lehvävirta, “Smartphone GPS tracking—Inexpensive and efficient data collection on recreational movement,” Landsc. Urban Plan., vol. 157, pp. 608–617, 2017.

A. Hardy et al., “Tracking tourists’ travel with smartphone-based GPS technology: a methodological discussion,” Inf. Technol. Tour., vol. 17, no. 3, pp. 255–274, 2017.

K. Merry and P. Bettinger, “Smartphone GPS accuracy study in an urban environment,” PLoS One, vol. 14, no. 7, pp. 1–19, 2019.

M. Taspika, L. Nuraeni, D. Suhendra, and F. Iskandar, “Using a smartphone’s magnetic sensor in a low-cost experiment to study the magnetic field due to Helmholtz and anti-Helmholtz coil,” Phys. Educ., vol. 54, no. 1, 2018.

T. Converter, “TCX Converter- The Multiconverter Tool,” TCX Converter, 2014. http://www.tcxconverter.com/TCX_Converter/TCX_Converter_ENG.html

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors who publish with Indonesian Physical Review Journal, agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International Licence (CC BY SA-4.0). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Indonesian Physical Review Journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

LEVERAGING THE UBIQUITOUS GPS SENSOR ON THE SMARTPHONES FOR ACCESSIBLE LAND SURVEYING

Authors

DOI:

Published:

Issue:

Keywords:

Articles

Downloads

How to Cite

Abstract

References

License

Official Website Of

Indonesian Physical Review, University of Mataram

Contact Us

Official link

Share & Follow