Vegetation Monitoring Using UAV : a Preliminary Study

  • Authors

    • Soon Eng L
    • Rozita Ismail
    • Wahidah Hashim
    • Rajina R. Mohamed
    • Aslina Baharum
  • monitoring, remote sensing, Visible Atmospherically Resistant Index, unmanned aerial vehicle, drone,
  • Remote sensing using drone or UAV (unmanned aerial vehicle) is the current trends and this technology can provide unrevealed life-altering benefits to mankind. Drones are being used in many sectors such as for military, research, agricultural and recreational means. This technology not only can reduce the time of inspection, but it is also giving many benefits such as provides real-time live video for site inspection that can help user to analyze site logistic and speeding up the overall tasks. However, vegetation monitoring using remote sensing has its own challenges in terms of processing the captured image and data. Somehow, previous research has suggested a lot of different possible algorithm that could be used for post-processing the data gathered. Nevertheless, most of the algorithm requires a specific sensor in order to get the result. The objective of this paper is to identify and verify the algorithm that is suitable to process the vegetation image. This research will use the data gathered from various area by using consumer camera and process by using Visible Atmospherically Resistant Index (VARI) indices. Finally, this research will observe the accuracy of the result analyzed using the VARI and identify the characteristic of the algorithm.

  • References

    1. [1] Pauline, L., Damien, P., & François, C. (2014). The benefits of urban vegetation, (February).

      [2] William, Brock, M., & Weissman, S. (2012). Trees and Power Lines: Minimizing Conflicts between Electric Power Infrastructure and the Urban Forest.

      [3] Rancea, G. V. (2014). Evaluation of Methods for Control of Vegetation in Utility Corridors.

      [4] Reducing faults created by vegetation contact on utility lines. (n.d.). Retrieved April 19, 2018, from

      [5] SA Power Network (2016). ‘Protocol for vegetation management near powerlines 2016-2018.’ Retrieved from

      [6] Qayyum, A., Malik, A. S., Mohamad Saad, M. N., Iqbal, M., Ahmad, R. F., Tuan Abdullah, T. A. R. B., & Ramli, A. Q. (2015). Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images. 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2014, (November), 25–27.

      [7] National Grid (2009). ‘What you should know about trees and your electric service.’ Retrieved from

      [8] Government of Western Australia (2012). ‘Guidelines for the management of vegetation near power lines.’ Retrieved from

      [9] Lawesson, J. E. (Editor) ; Eilertsen, O. ; Diekmann, M. ; Reinikainen, A. ; Gunnlaugsdóttir, E. ; Fosaa, A. M. ; Carøe, I. ; Skov, F. ; Groom, G. ; Økland, T. ; Økland, R. ; Andersen, P. N. ; Bakkestuen, V./ A Concept for Vegetation Studies and Monitoring in the Nordic Countries. Copenhagen: Nordic Councils of Ministers, 2000. 125 p. (TemaNord, Vol. 2000:517).

      [10] Li, Z., Walker, R., Hayward, R., & Mejias, L. (2010). Advances in Vegetation Management for Power Line Corridor Monitoring Using Aerial Remote Sensing Techniques. Proceedings of the First International Conference on Applied Robotics for the Power Industry (CARPI), 1–6.

      [11] Hayes, D. J., & Sader, S. a. (2001). Comparison of Change Detection Techniques for Monitoring Tropical Forest Clearing and Vegetation Regrowth in a Time Series. Photogrammetric Engineering & Remote Sensing, 67, No. 9, 1067–1075.

      [12] Burgan, R. E., & Hartford, R. A. (1993). Greenness With Satellite Data, (May).

      [13] Gopinath, G. (2015). Free data and Open Source Concept for Near Real Time Monitoring of Vegetation Health of Northern Kerala, India. Aquatic Procedia, 4(Icwrcoe), 1461–1468.

      [14] Feng, Q., Liu, J., & Gong, J. (2015). UAV Remote sensing for urban vegetation mapping using random forest and texture analysis. Remote Sensing, 7(1), 1074–1094.

      [15] Sugiura, R., Noguchi, N., & Ishii, K. (2005). Remote-sensing technology for vegetation monitoring using an unmanned helicopter. Biosystems Engineering, 90(4), 369–379.

      [16] Suzuki, T., & Amano, Y. (2009). Development of Low-Cost and Flexible Vegetation Monitoring System Using Small Unmanned Aerial Vehicle. Iccas-Sice, 2009, 67, 4808–4812.

      [17] Lebourgeois, V., Bégué, A., Labbé, S., Mallavan, B., Prévot, L., & Roux, B. (2008). Can commercial digital cameras be used as multispectral sensors? A crop monitoring test. Sensors, 8(11), 7300–7322.

      [18] Gitelson, A. A., Kaufman, Y. J., Stark, R., & Rundquist, D. (2002). Novel algorithms for remote estimation of vegetation fraction. Remote Sensing of Environment, 80(1), 76–87.

  • Downloads

  • How to Cite

    Eng L, S., Ismail, R., Hashim, W., Mohamed, R. R., & Baharum, A. (2018). Vegetation Monitoring Using UAV : a Preliminary Study. International Journal of Engineering & Technology, 7(4.35), 223-227.