From destruction to enhanced greening: Quantifying vegetation cover dynamics in Banda Aceh 20 years after the tsunami
DOI:
https://doi.org/10.22225/jipe.4.2.2025.104-112Keywords:
NDVI, vegetation recovery, tsunami 2004, spatial-temporal dynamics, Banda AcehAbstract
The 2004 tsunami disaster caused severe ecological damage in Banda Aceh City, destroying a vast majority of its vegetation cover. This study aims to analyze the spatio-temporal dynamics of post-disaster vegetation recovery over two decades (2004-2024) to identify the stages of ecological succession. Using a remote sensing approach, Landsat satellite imagery from 2004 (pre-tsunami), 2005 (post-tsunami), 2014 (one decade later), and 2024 (two decades later) was analyzed using the Normalized Difference Vegetation Index (NDVI). The NDVI classification results show a drastic change: the non-vegetated area surged from 67.58% in 2004 to 89.01% in 2005, while the dense vegetation class was entirely eliminated. However, a recovery process unfolded over the subsequent two decades. By 2024, the non-vegetated area had drastically shrunk to just 13.11%, while the combined area of moderate and dense vegetation surged to over 45% of the city's total area, surpassing the pre-tsunami condition. This study concludes that Banda Aceh has not only successfully restored its vegetation cover but has also undergone a significant ecosystem maturation phase. These findings provide a robust scientific basis for integrating NDVI analysis as a proactive monitoring instrument into the Banda Aceh City Spatial Plan (RTRW) to support sustainable and disaster-resilient urban development.
References
[1] M. H. Watkins and C. A. Griffith, “Synthesis Report from the 2nd International Conference on Urbanization and Global Environmental Change Urban Transitions & Transformations: Science, Synthesis, and Policy,” Tempe, USA, 2015. doi: 10.1017/CBO9781107415324.004.
[2] S. Wu, Z. Liang, and S. Li, “Relationships between urban development level and urban vegetation states: A global perspective,” Urban For Urban Green, vol. 38, pp. 215–222, Feb. 2019, doi: 10.1016/j.ufug.2018.12.010.
[3] V. Naumov et al., “How to reconcile wood production and biodiversity conservation? The Pan-European boreal forest history gradient as an ‘experiment,’” J Environ Manage, vol. 218, pp. 1–13, Jul. 2018, doi: 10.1016/j.jenvman.2018.03.095.
[4] Z. Davis, L. Nesbitt, M. Guhn, and M. van den Bosch, “Assessing changes in urban vegetation using Normalised Difference Vegetation Index (NDVI) for epidemiological studies,” Urban For Urban Green, vol. 88, Oct. 2023, doi: 10.1016/j.ufug.2023.128080.
[5] W. Yang et al., “Remote sensing assessment of urban vegetation’s dust retention for mitigating atmospheric particulate pollution,” Urban Clim, vol. 62, Aug. 2025, doi: 10.1016/j.uclim.2025.102535.
[6] Z. Yan et al., “Spatial and temporal variation of NDVI and its driving factors based on geographical detector: A case study of Guanzhong plain urban agglomeration,” Remote Sens Appl, vol. 32, Nov. 2023, doi: 10.1016/j.rsase.2023.101030.
[7] I. P. E. Sarassantika, G. B. A. Wicaksana, and K. T. U. Putri, “Assessing the Impact of Environmental Hazards on Educational Facility Structures in Karangasem Regency Implications for Risk Mitigation,” Journal of Infrastructure Planning and Engineering, vol. 3, no. 2, pp. 41–49, Dec. 2024, doi: 10.22225/jipe.3.2.2024.41-49.
[8] A. R. Shahtahmassebi et al., “Remote sensing of urban green spaces: A review,” Urban For Urban Green, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:234342661
[9] P. Singh, P. Verma, A. S. Chaudhuri, V. K. Singh, and P. K. Rai, “Evaluating the relationship between Urban Heat Island and temporal change in land use, NDVI and NDBI: a case study of Bhopal city, India,” International Journal of Environmental Science and Technology, vol. 21, no. 3, pp. 3061–3072, Feb. 2024, doi: 10.1007/s13762-023-05141-y.
[10] R. Al-Fath, “Fenomena Pembangunan Kota Banda Aceh Pasca Tsunami 2004,” Universitas Gadjah Mada, Yogyakarta, 2022.
[11] Z. Hayati, S. Syahreza, and M. S. Surbakti, “NDVI Based Analysis on the Impact of 2004 Tsunami Disaster Recovery Toward Vegetation Condition in Banda Aceh,” Journal of Aceh Physics Society, vol. 8, no. 3, pp. 66–71, Sep. 2019, doi: 10.24815/jacps.v8i3.12688.
[12] R. N. Trinufi and S. Rahayu, “Analisis Perubahan Kerapatan Vegetasi dan Bangunan di Kota Banda Aceh Pasca Bencana Tsunami,” Ruang, vol. 6, no. 1, pp. 28–37, 2020, doi: https://doi.org/10.14710/ruang.6.1.29-39.
[13] S. Sugianto, T. Arabia, M. Rusdi, S. Syakur, and M. Trishiani, “Spatial distribution vegetation density, land surface temperature, and land surface moisture of Banda Aceh, Indonesia after 17 years of tsunami: a multitemporal analysis approaches,” Environ Monit Assess, vol. 195, no. 1, Jan. 2023, doi: 10.1007/s10661-022-10827-w.
[14] E. Frankenberg, T. Gillespie, S. Preston, B. Sikoki, and D. Thomas, “Mortality, The Family and The Indian Ocean Tsunami,” vol. 121, pp. 162–182, 2011, doi: 10.1111/j.1468-0297.2011.02446.x.
[15] BRR, Aceh and Nias Two Years After the Tsunami. CV Andika Pratama, 2006.
[16] R. Al-Fath and A. Marsoyo, “The Development Of Banda Aceh City Post Tsunami Disaster 2004,” Journal Teknosains, vol. 12, no. 2, pp. 164–175, 2023, doi: https://doi.org/10.22146/teknosains.77549.
[17] F. Aghazadeh et al., “Spatial-temporal analysis of day-night time SUHI and its relationship between urban land use, NDVI, and air pollutants in Tehran metropolis,” Applied Geomatics, vol. 15, no. 3, pp. 697–718, Sep. 2023, doi: 10.1007/s12518-023-00515-w.
[18] Putu Aryastana, Maria Imaculata Goran Mosa, Wayan Widiana, I Made Eryana Eka Putra, and Gede Rustiawan, “Application of normalized difference vegetation index in classifying land cover change over Bangli regency by using Landsat 8 imagery,” Journal of Infrastructure Planning and Engineering (JIPE), vol. 1, no. 1, pp. 8–14, Apr. 2022, doi: 10.22225/jipe.1.1.2022.8-14.
[19] S. Huang, L. Tang, J. P. Hupy, Y. Wang, and G. Shao, “A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing,” Feb. 01, 2021, Northeast Forestry University. doi: 10.1007/s11676-020-01155-1.
[20] J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering, “Monitoring Vegetation Systems in the Great Plains with ERTS (Earth Resources Technology Satellite),” in Proceedings of 3rd Earth Resources Technology Satellite Symposium, 1973.
[21] A. Hardianto, P. U. Dewi, T. Feriansyah, N. F. S. Sari, and N. S. Rifiana, “Pemanfaatan Citra Landsat 8 Dalam Mengidentifikasi Nilai Indeks Kerapatan Vegetasi (NDVI) Tahun 2013 dan 2019 (Area Studi: Kota Bandar Lampung),” Jurnal Geosains dan Remote Sensing, vol. 2, no. 1, pp. 8–15, May 2021, doi: 10.23960/jgrs.2021.v2i1.38.
[22] M. Gascon et al., “Normalized difference vegetation index (NDVI) as a marker of surrounding greenness in epidemiological studies: The case of Barcelona city,” Urban For Urban Green, vol. 19, pp. 88–94, Sep. 2016, doi: 10.1016/j.ufug.2016.07.001.
[23] A. Putri and H. Maghfirah, “The Mapping of Vegetation Density Changes Based on the Normalized Difference Vegetation Index Using Landsat OLI in The Coastal Region of Aceh Barat,” Indonesian Journal of Computer Science Attribution, vol. 12, no. 6, pp. 3250–3260, 2023, doi: https://doi.org/10.33022/ijcs.v12i6.3489.
[24] BRR, Laying Down the Foundation for a Better Tomorrow. CV Andika Pratama, 2005.
[25] M. J. Koohsari et al., “Public open space, physical activity, urban design and public health: Concepts, methods and research agenda,” Health Place, vol. 33, pp. 75–82, May 2015, doi: 10.1016/j.healthplace.2015.02.009.
[26] Z. Shafara Aiyub, M. Irwansyah, A. Gunawan, and R. Al-Fath, “How Effective Are Urban Parks? Insights from Lapangan Merdeka and Taman Bambu Runcing in Langsa City,” Built Environment Innovations (BEI), vol. 1, no. 1, pp. 41–50, 2025.
[27] A. Mascarenhas, “Response of coastal vegetation and the need for green belts along the Tamil Nadu coast, India: The December 2004 tsunami experience,” in Tsunamis: Causes, Characteristics, Warnings and Protectionon, 2010, pp. 131–147.
[28] N. Veitch and G. Jaffray, Tsunamis: Causes, Characteristics, Warnings and Protection. New York: Nova Science Publisher, Inc., 2010.
[29] J. Ge, Y. Wang, D. Zhou, Y. Guo, J. Wang, and Z. Gu, “Urban parks as effective airborne cooling sources: planning suggestions based on an empirical study in Xi’an, China,” Urban Clim, vol. 62, Aug. 2025, doi: 10.1016/j.uclim.2025.102571.
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