Spatial Assessment of Urban Vegetation Density Using Landsat 8 NDVI: A Case Study of Sibolga, Indonesia
DOI:
https://doi.org/10.63639/ykp.v2i1.155Keywords:
NDVI, Vegetation Density, Remote Sensing, Landsat 8, Sibolga CityAbstract
The intensive growth of urban areas has increased the conversion of vegetated land into built-up areas, thereby reducing the quality of the environment and green open spaces. Sibolga City as a coastal city with limited land faces urbanization pressures that have the potential to accelerate the decline in vegetation cover. This study aims to analyze and map the level of vegetation density in Sibolga City using the Normalized Difference Vegetation Index (NDVI) approach. The study uses a descriptive quantitative method based on spatial analysis by utilizing Landsat 8 imagery in 2025 as the main data. Data processing was carried out through the pre-image processing stage, calculation of NDVI values using ArcGIS Pro, classification of vegetation density levels into five classes, and descriptive analysis of the spatial distribution of the mapping results. The results showed that the middle greenery class dominated the Sibolga City area with an area of 546.77 ha (47.77%), followed by very low greenery of 221.83 ha (19.38%), unvegetated land of 207.61 ha (18.14%), low greenery of 166.43 ha (14.45%), while high greenery only 2.89 ha (0.25%) remained. The accumulation of unvegetated land, very low greenery, and low greenery reached 51.97% of the total area, indicating the dominance of the built landscape as well as the high pressure on urban vegetation. This study concludes that the condition of vegetation cover in Sibolga City requires strengthening spatial planning policies based on spatial data through the protection of vegetated areas, the development of green open spaces, and the control of land conversion to support the sustainability of the urban environment.
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Copyright (c) 2026 Citra Amelia Putri Nasution, Mutia Indah Purnama, Chandra Aryanto Marbun, Muhammad Ridha Syafii Damanik, Yessi Marbun (Author)
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