IJSTR >> Volume 10 - Issue 6, June 2021 Edition

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AUTHOR(S)

Gilang Munggaran, Prita Ayu Permatasari, Luisa Febrina Amalo, Yusli Wardiatno, Dadan Mulyana, Luluk D.W. Handayani, Pungki Ari Wibowo, Hefni Effendi, Hadi Supardi, Audra Ligafinza

KEYWORDS

mangrove ecosystem, mapping, oil pollution, Seribu Islands, UAV.

ABSTRACT

Untung Jawa Island is one of the tourism islands in the Seribu Islands, Jakarta Province, Indonesia. This island holds the potential for natural tourism such as beaches and mangrove ecosystems. The incident of oil spill on the North Coast of Karawang (103 km east of the Untung Jawa Island) in July 2019 might have an ecological impact on mangrove ecosystem of the island. The objective of this study was to map the exposed mangrove ecosystem area in Untung Jawa Island 1 month and 4 months after the incident. Data of existing mangrove distribution in the study location was analyzed based on Unmanned Aerial Vehicle (UAV) imageries and Global Mangrove Watch Updating Basemap acquisition time of 31 May 2019, World Imagery Low Resolution 15 m, High Resolution 60 cm Imagery, High Resolution 30 cm Imagery. The distribution of oil spills in the form of tarballs in mangroves was determined based on the acquisition of UAV data on 14 August and 7 November 2019, and was verified by field survey in the mangrove ecosystem. The results of the survey showed that there were several vegetation species found, such as Hibiscus tiliaceus, Avicennia marina, Morinda citrifolia, Rhizophora stylosa, Rhizophora mucronata and Xylocarpus granatum. According to UAV imageries analysis Untung Jawa Island has 3.81 hectares mangrove area. In August 2019, 1.52 hectares of mangrove ecosystem was exposed by oil spill in August 209, and this area decreased in November 2019 into 0.65 hectares. The declining of oil spill exposed area was seemed to be due to various efforts and responses such as shoreline cleanup and the successful of the well closure.

REFERENCES

[1] A. Bahuguna, S. Nayak, and D. Roy, “Impact of The Tsunami and Earthquake of 26th December 2004 on The Vital Coastal Ecosystems of The Andaman and Nicobar Islands Assessed Using RESOURCESAT AWIFS Data,” Int. J. Appl. Earth Obs. Geoinf, vol. 10, pp. 229–237, 2008.
[2] J. Cao, W. Leng, K. Liu, L. Liu, Z. He, and Y. Zhu, “Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models,” Remote Sens, 2018, doi:10.3390/rs10010089www.
[3] C. Balas, C. Pappas, G. Epitropou, “Multi/Hyper-Spectral Imaging,” Handbook of Biomedical Optics, pp 131-164, 2011.
[4] I. Colomina and P. Molina, “Unmanned Aerial Systems for Photogrammetry and Remote Sensing: A Review,” Remote Sens, vol. 92, pp. 79–97, 2014.
[5] T. Sankey, J. Donager, J. McVay and J.B. Sankey, “UAV LiDAR and Hyperspectral Fusion for Forest Monitoring in The Southwestern USA,” Remote Sens. Environ, vol. 195, pp. 30–43, 2017.
[6] Q.S. Li, F.K.K. Wong and T. Fung, “Assessing The Utility of UAV-Borne Hyperspectral Image and Photogrammetry Derived 3D Data for Wetland Species Distribution Quick Mapping,” ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, pp. 209–215, 2017.
[7] S. Hese, and C. Schmullius, “Object Oriented Oil Spill Contamination Mapping in West Siberia with Quickbird Data. Object-Based Image Analysis.” Springer, pp. 367-382, 2008.
[8] S. Khanna, M.J. Santos, S.L. Ustin, A. Koltunov, R.F. Kokaly, and D.A. Roberts, “Detection of Salt Marsh Vegetation Stress and Recovery After The Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico Using AVIRIS Data,” PLoS One, vol. 8, no. 11, 2013, doi: https://doi.org/10.1371/ journal.pone.0078989.
[9] R.F Kokaly, B.R. Couvillion, J.M. Holloway, D.A. Roberts, S.L. Ustin, S.H. Peterson, and S.C. Piazza “Spectroscopic Remote Sensing of The Distribution and Persistence of Oil from The Deepwater Horizon Spill in Barataria Bay Marshes,” Remote Sens. Environ, vol. 129, pp. 210-230, 2013.
[10] L.D. Brown, and A.C. Ulrich, “Bioremediation of Oil Spills on Land,” Handbook of Oil Spill Science and Technology, pp. 395-406, 2014.
[11] S. Khanna, M.J. Santos, S.L. Ustin, K. Shapiro, P.J. Haverkamp, and M. Lay, “Comparing The Potential of Multispectral and Hyperspectral Data for Monitoring Oil Spill Impact,” Sensors, vol. 18, no. 2, 2018.
[12] K. Shapiro, S. Khanna, and S.L. Ustin, “Vegetation Impact and Recovery from Oil Induced Stress on Three Ecologically Distinct Wetland Sites in The Gulf of Mexico,” J. Mar. Sci. Eng, vol. 4, no. 2, 2016.
[13] D.G. Bengen, Sinopsis Ekosistem dan Sumber Daya Alam Pesisir dan Laut serta Prinsip Pengelolaannya. Bogor: Pusat Kajian Sumberdaya Pesisir dan Lautan, Institut Pertanian Bogor, 2004.
[14] IPCC, “Working Group I Contribution to the IPCC Fifth Assessment Report (AR5), Climate Change 2013: The Physical Science Basis,” Chapter 13–Sea Level Change-Final Draft Underlying ScientificTechnical Assessment, International Panel on Climate Change, 2013.
[15] J.U. Terrados, N. Thampanya, P. Srichai, O. Kheowvongsri, S. Geertz-Hansen, N. Boromthanarath, Panapitukkul, and C.M. Duarte, “The Effect of Increased Sediment Accretion on The Survival and Growth of Rhizophora apiculata Seedlings”, Estuarine, Coastal and Shelf Science, vol. 45, pp. 697-701, 1997.
[16] FAO, The World’s Mangroves 1980-2005. Rome, Italy: FAO Forestry Paper, pp. 77, 2007.
[17] A.Y. Itah, and J.P. Essien, “Growth Profile and Hydrocarbonoclastic Potential of Microorganisms Isolated from Tarballs in the Bight of Bonny, Nigeria”, World Journal of Microbiology and Biotechnology, vol. 21(6–7), pp. 1317–1322, 2005.
[18] C.E. Proffitt, eds., Managing Oil Spills in Mangrove Ecosystems: Effects, Remediation, Restoration, and Modeling, OCS Study MMS 97-0003. New Orleans: U.S. Department of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, 1997.
[19] R.R.III. Lewis, “Impact of Oil Spills on Mangrove Forests,” Tasks for Vegetation Science, H.J. Teas, eds., vol. 8 (Biology and Ecology of Mangroves), The Hague: Dr W. Junk Publishers, pp. 171-183, 1983.
[20] R. Hoff, and J. Michel J, eds., Oil Spills in Mangroves Planning and Response Considerations, Seattle, Washington: NOAA, 2014.