Analysis of Vegetation Index in Ambon City Using Sentinel-2 Satellite Image Data with Normalized Difference Vegetation Index (NDVI) Method based on Google Earth Engine
Abstract
Rapid urban development and increasing human activities in the city can affect the decline in the Vegetation Index in Ambon City. The research aims to analyze the vegetation index using sentinel-2 satellite image data with the Normalized Difference Vegetation Index (NDVI) method based on Google Earth Engine (GEE) in Ambon City in 2023. This research uses Sentinel-2 Satellite Image data which is analyzed using Google Earth Engine with the Normalized Difference Vegetation Index (NDVI) method. The results showed that the vegetation index value in Ambon City in 2023 was the lowest value of -0.672381 and the highest value of 0.949297. The vegetation index value is then divided into four classes, namely No Vegetation which has an area of 4,448.99 ha or 13.67%, Low Vegetation areas have an area of 1,611.06 ha or 4.95%, Moderate Vegetation areas have an area of 2,895.12 ha or 8.89% and High Vegetation areas have an area of 23,597.35 ha or 72.49%. Analysis of the vegetation index in Ambon City is very important to maintain environmental balance and a healthy and sustainable environment.
References
Y. Zeng et al., “Optical vegetation indices for monitoring terrestrial ecosystems globally,” Nat. Rev. Earth Environ., vol. 3, no. 7, pp. 477–493, May 2022, doi: 10.1038/s43017-022-00298-5.
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,” J. For. Res., vol. 32, no. 1, pp. 1–6, Feb. 2021, doi: 10.1007/s11676-020-01155-1.
Q. Zhuang et al., “Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities,” Int. J. Appl. Earth Obs. Geoinf., vol. 114, p. 103058, Nov. 2022, doi: 10.1016/j.jag.2022.103058.
A. Diener and P. Mudu, “How can vegetation protect us from air pollution? A critical review on green spaces’ mitigation abilities for air-borne particles from a public health perspective - with implications for urban planning,” Sci. Total Environ., vol. 796, p. 148605, Nov. 2021, doi: 10.1016/j.scitotenv.2021.148605.
J. W. Hatulesila, G. Mardiatmoko, and I. Irwanto, “ANALISIS NILAI INDEKS KEHIJAUAN (NDVI) PADA POLA RUANG KOTA AMBON, PROVINSI MALUKU,” J. HUTAN PULAU-PULAU KECIL, vol. 3, no. 1, pp. 55–67, Apr. 2019, doi: 10.30598/jhppk.2019.3.1.55.
R. Latuconsina, G. Mardiatmoko, and J. D. Putuhena, “VARIATION OF NDVI VEGETATION INDEX IN LANDSCAPE CHANGE OF AMBON CITY, MALUKU PROVINCE,” J. HUTAN PULAU-PULAU KECIL, vol. 4, no. 1, pp. 1–13, Apr. 2020, doi: 10.30598/jhppk.2020.4.1.1.
H. Latue, P. C., Septory, J. S. I., & Rakuasa, “Perubahan Tutupan Lahan Kota Ambon Tahun 2015, 2019 dan 2023,” JPG (Jurnal Pendidik. Geogr., vol. 10, no. 1, pp. 177–186, 2023, doi: http://dx.doi.org/10.20527/jpg.v10i1.15472.
H. Salakory, M., Rakuasa, “Modeling of Cellular Automata Markov Chain for predicting the carrying capacity of Ambon City,” J. Pengelolaan Sumberd. Alam dan Lingkung., vol. 12, no. 2, pp. 372–387, 2022, doi: https://doi.org/10.29244/jpsl.12.2.372-387.
G. S. Heinrich Rakuasa, “Analisis Spasial Kesesuaian dan Evaluasi Lahan Permukiman di Kota Ambon,” J. Sains Inf. Geogr. (J SIG), vol. 5, no. 1, pp. 1–9, 2022, doi: DOI: http://dx.doi.org/10.31314/j%20sig.v5i1.1432.
J. H. Pietersz, J. Matinahoru, and R. Loppies, “Pendekatan Indeks Vegetasi Untuk Mengevaluasi Kenyamanan Termal Menggunakan Data Satelit Landsat-Tm Di Kota Ambon,” Agrologia, vol. 4, no. 2, Feb. 2018, doi: 10.30598/a.v4i2.208.
M. M. F. Wong, J. C. H. Fung, and P. P. S. Yeung, “High-resolution calculation of the urban vegetation fraction in the Pearl River Delta from the Sentinel-2 NDVI for urban climate model parameterization,” Geosci. Lett., vol. 6, no. 1, p. 2, Dec. 2019, doi: 10.1186/s40562-019-0132-4.
C. Evangelides and A. Nobajas, “Red-Edge Normalised Difference Vegetation Index (NDVI705) from Sentinel-2 imagery to assess post-fire regeneration,” Remote Sens. Appl. Soc. Environ., vol. 17, p. 100283, Jan. 2020, doi: 10.1016/j.rsase.2019.100283.
J. Aryal, C. Sitaula, and S. Aryal, “NDVI Threshold-Based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia,” Land, vol. 11, no. 3, p. 351, Feb. 2022, doi: 10.3390/land11030351.
Q. Wang, Á. Moreno-Martínez, J. Muñoz-Marí, M. Campos-Taberner, and G. Camps-Valls, “Estimation of vegetation traits with kernel NDVI,” ISPRS J. Photogramm. Remote Sens., vol. 195, pp. 408–417, Jan. 2023, doi: 10.1016/j.isprsjprs.2022.12.019.
M. Amiri and H. R. Pourghasemi, “Mapping the NDVI and monitoring of its changes using Google Earth Engine and Sentinel-2 images,” in Computers in Earth and Environmental Sciences, Elsevier, 2022, pp. 127–136. doi: 10.1016/B978-0-323-89861-4.00044-0.
K. V. Ticman, S. G. Salmo III, K. E. Cabello, M. Q. Germentil, D. M. Burgos, and A. C. Blanco, “MONITORING POST-DISASTER MANGROVE FOREST RECOVERIES IN LAWAAN-BALANGIGA, EASTERN SAMAR USING TIME SERIES ANALYSIS OF MOISTURE AND VEGETATION INDICES,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. XLVI-4/W6-, pp. 295–301, Nov. 2021, doi: 10.5194/isprs-archives-XLVI-4-W6-2021-295-2021.
N. Wachid and W. P. Tyas, “Analisis Transformasi NDVI dan kaitannya dengan LST Menggunakan Platform Berbasis Cloud: Google Earth Engine,” J. Planol., vol. 19, no. 1, p. 60, Apr. 2022, doi: 10.30659/jpsa.v19i1.20199.
Y. Rakuasa, H., & Pakniany, “Spatial Dynamics of Land Cover Change in Ternate Tengah District, Ternate City, Indonesia,” Forum Geogr., vol. 36, no. 2, pp. 126–135, 2022, doi: DOI: 10.23917/forgeo.v36i2.19978.
H. Rakuasa, D. A. Sihasale, and P. C. Latue, “Model Tutupan Lahan di Daerah Aliran Sungai Kota Ambon Tahun 2031: Studi Kasus DAS Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah Dan Wai Ruhu,” J. Tanah dan Sumberd. Lahan, vol. 9, no. 2, pp. 473–486, Jul. 2022, doi: 10.21776/ub.jtsl.2022.009.2.29.
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