DINAMIKA NORMALIZED DIFFERENCE VEGETATION INDEX AKIBAT PERUBAHAN TUTUPAN LAHAN PERKOTAAN DI DAS WAE BATU MERAH KOTA AMBON
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Abstract
Urbanisation and land-use conversion in tropical urban watersheds have increasingly contributed to ecological degradation and hydrological instability, particularly through the reduction of vegetation cover and the expansion of impervious surfaces. This study aimed to analyse the spatial dynamics of vegetation cover using the Normalised Difference Vegetation Index (NDVI) and to evaluate its implications for hydrological changes in the Wae Batu Merah Watershed, Ambon City, Indonesia, during the period 2013–2024. A quantitative spatial–hydrological approach was employed by integrating remote sensing analysis, Geographic Information Systems (GIS), and hydrological interpretation. Satellite imagery from Landsat and Sentinel platforms was processed to generate NDVI classifications, while hydrological data were used to assess changes in peak discharge. The results revealed a substantial decline in vegetation quality and watershed ecological function over the observation period. The average NDVI value in the upstream watershed decreased from 0.46 in 2013 to 0.28 in 2023, representing a decline of 39.13%. Simultaneously, buffer vegetation area decreased by 42%, whereas built-up and settlement areas increased by 84%. Spatial analysis demonstrated that areas classified as high greenness and medium greenish became increasingly fragmented, while low greenness, very low greenness, and non-vegetation classes expanded significantly, particularly in the western and transitional watershed zones. These land-cover changes were accompanied by an increase in peak discharge from 58.0 m³/s to 69.8 m³/s, indicating intensified surface runoff and reduced infiltration capacity. The findings confirm a strong ecological–hydrological relationship between vegetation degradation and watershed response in tropical small-island urban catchments. This study highlights the effectiveness of NDVI as a spatial indicator for watershed health assessment and provides scientific evidence to support vegetation-based watershed conservation, ecological restoration, and sustainable urban land-use planning.
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References
Ahmed, K. R., & Akter, S. (2017). Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with landsat multi-spectral surface reflectance satellite data. Remote Sensing Applications: Society and Environment, 8. https://doi.org/10.1016/j.rsase.2017.08.010
Ajar, B. (n.d.). Hidrologi Pulau Kecil.
An, T. T., Izuru, S., Narumasa, T., Raghavan, V., Hanh, L. N., An, N. Van, Long, N. V., Thuy, N. T., & Minh, T. P. (2022). Flood vulnerability assessment at the local scale using remote sensing and GIS techniques: a case study in Da Nang City, Vietnam. Journal of Water and Climate Change, 13(9). https://doi.org/10.2166/wcc.2022.029
Askar, S., Zeraat Peyma, S., Yousef, M. M., Prodanova, N. A., Muda, I., Elsahabi, M., & Hatamiafkoueieh, J. (2022). Flood Susceptibility Mapping Using Remote Sensing and Integration of Decision Table Classifier and Metaheuristic Algorithms. Water (Switzerland), 14(19). https://doi.org/10.3390/w14193062
Bejagam, V., & Sharma, A. (2023). Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India. Ecological Engineering, 187. https://doi.org/10.1016/j.ecoleng.2022.106841
Daoa, B., Loppies, R., & Latuamury, B. (2023). Studi Empiris Pengelolaan Hutan Kota Berkelanjutan Di Taman Makmur Siwalima Kota Ambon. Jurnal Geografi, Lingkungan Dan Kesehatan, 1(2), 131–142. https://doi.org/10.30598/jglk.1.2.12021
Franke, J., & Menz, G. (2007). Multi-temporal wheat disease detection by multi-spectral remote sensing. Precision Agriculture, 8(3). https://doi.org/10.1007/s11119-007-9036-y
Gandri, L., Indriyani, L., Bana, S., Ahmaliun, L. De, Alwi, L. O., & Fitriani, V. (2023). Analisis Perubahan Kerapatan Vegetasi Mangrove untuk Perencanaan Pengelolaan Konservasi Perairan Berkelanjutan di Teluk Moramo. In Jurnal Perencanaan Wilayah (Vol. 8, Issue 1, pp. 107–115). https://doi.org/10.33772/jpw.v8i1.380
Haulussy, R., Latuamury, B., & Iskar, I. (2024). Analisis Pemangku Kepentingan (Stakeholder) Terhadap Pengelolaan Sumberdaya Air Das Wae Batu Merah Kota Ambon. Makila, 18(1), 52–67. https://doi.org/10.30598/makila.v18i1.10561
Intopiana, L. V., Putuhena, J. D., & Boreel, A. (2020). Pemetaan Daerah Rawan Erosi Di DAS Wae Batu Merah Kota Ambon. MAKILA, 14(1). https://doi.org/10.30598/makila.v14i1.2508
Lai, C., Sun, H., Wu, X., Li, J., Wang, Z., Tong, H., & Feng, J. (2024). Water availability may not constrain vegetation growth in Northern Hemisphere. Agricultural Water Management, 291. https://doi.org/10.1016/j.agwat.2023.108649
Latuamury, B. (2013). Hubungan Antara Indeks Vegetasi Ndvi (Normalized Difference Vegetation Index) Dan Koefisien Resesi Baseflow Pada Beberapa SubDAS Propinsi Jawa Tengah Dan Daerah Istimewa Yogyakarta. Jurnal Teknosains, 2(2). https://doi.org/10.22146/teknosains.5998
Latuamury, B. (2020). Buku Ajar Manajemen DAS Pulau-Pulau Kecil. Sustainability (Switzerland), 11(1).
Latuamury, B., Aponno, H. S. E. S., Marasabessy, H., Hadijah, M. H., & Imlabla, W. (2020). The spatial dynamics of land cover change along the Wallacea corridor in the key biodiversity area ‘Buano Island’, Maluku, Indonesia. Journal of Degraded and Mining Lands Management, 7(4). https://doi.org/10.15243/JDMLM.2020.074.2241
Latuamury, B., Gunawan, T., & Suprayogi, S. (2012). Pengaruh kerapatan vegetasi penutup lahan terhadap karakteristik resesi hidrograf pada beberapa subdas di Propinsi Jawa Tengah dan Propinsi DIY. Mgi, 26(2).
Latuamury, B., Marasabessy, H., & Hadidjah, M. H. (2019). Menakar Kesiapsiagaan Masyarakat Pemukim Di Sempadan Sungai Das Wae Batu Merah Kota Ambon Dalam Menghadapi Banjir. Prosiding Seminar Perhutanan Sosial, Fakultas Pertanian Universitas Pattimura, 230.
Latuamury, B., Sahureka, M., Hadijah, M. H., Parera, L. R., Iskar, & Talaohu, M. (2025). The community understanding and attitude related to the protection area function of the Wae Batu Merah watershed in Ambon City. IOP Conference Series: Earth and Environmental Science, 1527(1). https://doi.org/10.1088/1755-1315/1527/1/012012
Latuamury, B., Sudarmadji, S., & Suprayogi, S. (2016). Variasi Perubahan Penggunaan Lahan Pada Berbagai Tipe Bentuklahan Dan Kaitannya Dengan Aliran Dasar Sungai Pada DAS Keduang Provinsi Jawa Tengah (The Variation of Land-Use Change in Various Landform Type and Its Correlation With River Baseflow). Jurnal Manusia Dan Lingkungan, 23(2). https://doi.org/10.22146/jml.18790
Latuamury, B., & Talaohu, M. (2021). Correlating Spatial Pattern of Canopy Greenness Derived from the NDVI with Hydrological Characteristics of Small Island Watersheds. Journal of Geographical Studies, 5(1). https://doi.org/10.21523/gcj5.21050101
Marasabessy, S., Latuamury, B., Iskar, I., & Suhendy, C. C. V. (2019). Persepsi Masyarakat Mengenai Peranan Vegetasi Kawasan Sabuk Hijau Di Sempadan Sungai DAS Wae Batu Gajah. MAKILA, 13(1). https://doi.org/10.30598/makila.v13i1.2317
Mehmood, K., Anees, S. A., Rehman, A., Pan, S., Tariq, A., Zubair, M., Liu, Q., Rabbi, F., Khan, K. A., & Luo, M. (2024). Exploring spatiotemporal dynamics of NDVI and climate-driven responses in ecosystems: Insights for sustainable management and climate resilience. Ecological Informatics, 80. https://doi.org/10.1016/j.ecoinf.2024.102532
Pettorelli, N., Ryan, S., Mueller, T., Bunnefeld, N., Jedrzejewska, B., Lima, M., & Kausrud, K. (2011). The Normalized Difference Vegetation Index (NDVI): Unforeseen successes in animal ecology. In Climate Research (Vol. 46, Issue 1). https://doi.org/10.3354/cr00936
Priya, M. V., Kalpana, R., Pazhanivelan, S., Kumaraperumal, R., Ragunath, K. P., Vanitha, G., Nihar, A., Prajesh, P. J., & Vasumathi, V. (2023). Monitoring vegetation dynamics using multi-temporal Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) images of Tamil Nadu. Journal of Applied and Natural Science, 15(3). https://doi.org/10.31018/jans.v15i3.4803
Siahaya, J. S., Latuamury, B., & Loppies, R. (2025). Persepsi Pemangku Kepentingan Terhadap Pengelolaan Lanskap Hutan DASs Wae Batu Merah Kota Ambon. Jurnal Nusa Sylva, 24(2). https://doi.org/10.31938/jns.v24i2.760
Syamsul Fallah Kelihu|, Bokiraiya Latuamury, & Rina Suryani Oktari. (2025). Pemetaan Kerentanan Banjir Berbasis Karakteristik Sosio-Hidrologi di DAS Wae Batu Merah, Kota Ambon. MAKILA.
Tempa, K., Ilunga, M., Agarwal, A., & Tashi. (2024). Utilizing Sentinel-2 Satellite Imagery for LULC and NDVI Change Dynamics for Gelephu, Bhutan. Applied Sciences (Switzerland), 14(4). https://doi.org/10.3390/app14041578
Waiyasusri, K. (2021). Monitoring the land cover changes in mangrove areas and urbanization using normalized difference vegetation index and normalized difference built-up index in Krabi Estuary Wetland, Krabi province, Thailand. Applied Environmental Research, 43(3). https://doi.org/10.35762/AER.2021.43.3.1
Wiedarti, S., Ramdan, H., & Sudrajat, C. (2014). Keanekaragaman Jenis Tumbuhan Pencegah Erosi di Daerah Aliran Sungai (DAS) Ciliwung. Ekologia, 14(2), 1–9.
Xu, Y., Yang, Y., Chen, X., & Liu, Y. (2022). Bibliometric Analysis of Global NDVI Research Trends from 1985 to 2021. In Remote Sensing (Vol. 14, Issue 16). https://doi.org/10.3390/rs14163967
Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3). https://doi.org/10.1080/01431160304987
Zhao, Q., & Qu, Y. (2024). The Retrieval of Ground NDVI (Normalized Difference Vegetation Index) Data Consistent with Remote-Sensing Observations. Remote Sensing, 16(7). https://doi.org/10.3390/rs16071212
Zhihao, W., & Wei, F. (2024). UV-NDVI for real-time crop health monitoring in vertical farms. Smart Agricultural Technology, 8. https://doi.org/10.1016/j.atech.2024.100462