Application of Drone System for Land Cover Changes in Tembi-la Mangrove Forest and Pasir Akar Farm

  • Abstract
  • Keywords
  • References
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  • Abstract

    The aim of this study is to determine the application of drone system for land cover changes in Tembila mangrove forest and Pasir Akar farm. This study was to compare land cover changes at Tembila mangrove forest and Pasir Akar farm within 10 years. This study also use another tool to determine land cover which is Google Earth Pro for providing data in 2007, 2012 and 2017. The data collected from the drone and was being analysed using Pix4d Mapper Pro and Drone Deploy in order to obtain the Normalized Difference Vegetation Index (NDVI), orthomosaic image and elevation. The results show that there are changes in land cover at Tembila mangrove forest and Pasir Akar farm. The total area of Pasir Akar farm is 0.27 km2 meanwhile for Tembila mangrove forest is 0.86 km2. For Pasir Akar farm, the changes from 2007 until 2017 is 98.84 % meanwhile for Tembila mangrove forest is 59.30 %. This land cover changes happened in Pasir Akar farm due to agricultural and livestock activity meanwhile in Tembila mangrove forest due to aquaculture and palm oil plantation.


  • Keywords

    Tembila mangrove forest, Pasir Akar farm, drone system, land cover changes, Normalized Difference Vegetation Index (NDVI).

  • References

      [1] Agropolis. (2016) Selamat datang ke Ladang Pasir Akar. Universiti Sultan Zainal Abidin, Terengganu, Malaysia.

      [2] DJI. (2016) DJI Phantom 4 Advance – Spec, Tutorials and Downloads. Retrieved from Accessed on 19 October 2017.

      [3] Faridah-Hanum, I. & Awang Noor Abd Ghani, (2015) Forestry education in Malaysia: trends and challenges. In the Malaysia forester 2015, volume 78 (1&2) (p. A51-160). Malaysia: Forestry Department Peninsular Malaysia.

      [4] Grenzdörffer, G. J., Engel, A. & Teichert, B. (2008) The photogrametric potential of low-cost UAVs in forestry and agriculture. The International archives of the photogrammetry. Remote Sensing and Spatial Information Sciences 31(B3), 1207-1214.

      [5] García-Garizábal, I. & Abrahao, R. (2012) Irrigation: water manage ment, pollution and alternative strategies. Rijeka, Croatia: InTech.

      [6] JPS Daerah Besut, (2012) Profil daerah. Irrigation and Drainage D partment Besut, Terengganu, Malaysia.

      [7] Kodak. (2001) ENVI tutorials. Boulder, CO: Research Systems.

      [8] Lacerda, L. D. & Linneweber, V. (2011) Mangrove ecosystems: func tion and management. Berlin: Springer.

      [9] Malaysia Meteorological Service. (2016) Laporan cuaca bulan November 2015 dan tinjauan cuaca pada bulan Januari hingga Februari 2016. Malaysia Meteorological Agency, Selangor, Malaysia.

      [10] Malaysia Department Statistics. (2013) Area of mangrove forest in Malaysia. Environmental Statistic Time Series, 44-47.

      [11] Nurul Aini, K. (2016) Application of remote sensing and geographic information system techniques to monitoring of protected mangrove forest change in Sabah, Malaysia. Doctoral Thesis. Kyoto University, Japan.

      [12] Pix4D. (2018) Discover Pix4D Hybrid Innovation (MOBILE + DESTOP + CLOUD). Retrieved from Accessed on 2 May 2018.

      [13] Rinkesh. (2017) Deforestation - Causes, Effects and Solutions. Retrieved from Accessed on 8 February 2017.

      [14] Remondino, Fabio & Barazzetti, Luigi & Nex, Francesco & Scaioni, Marco & Sarazzi, D. (2011) UAV photogrammetry for mapping and 3D modeling-Current status and future perspectives. ISPRS - International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences XXXVIII-1/C22, 25-31.

      [15] Sholihah, R. I., Trisasongko, B. H., Shiddiq, D., La Ode, S. I., Kusdaryanto, S. & Panuju, D.R. (2016) Identification of agricultural drought extent based on vegetation health indices of Landsat data: case of Subang and Karawang, Indonesia. Procedia Environmental Sciences 33, 14-20.

      [16] Sulong, I., Mohd-Lokman, H., Mohd-Tarmizi, K. & Ismail, A. (2002) Mangrove mapping using Landsat Imagery and aerial photographs: Kemaman District Terengganu, Malaysia. Environment Development and Sustainability 4, 135–152.




Article ID: 25835
DOI: 10.14419/ijet.v7i4.43.25835

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