NDVI-Based Assessment of Vegetation Cover in Koronadal City Using GIS and Remote Sensing

Abstract

Over the years, vegetation in cities has been affecting the climate in the valley. A method called Normalized Difference Vegetation Index (NDVI) Assessment combined with Remote Sensing through satellite images is an innovative way to track the changes in vegetation cover in these areas. This study sought to examine alterations in vegetation regions within the Koronadal valley by employing the Normalized Difference Vegetation Index (NDVI) for analysis. The research design involved quantitative descriptive research, utilizing numerical data from NDVI analysis as the foundation for predicting vegetation cover trends over the next decade through linear regression. It also utilized satellite imagery from platforms like Landsat 7, 8, and 9. The results revealed a substantial increase in vegetation cover from (183.41 ± 46.53) km² to (230.73 ± 16.82) km² within Koronadal City between 2003 and 2023. Statistical analysis indicates a significant positive trend in vegetation area expansion over the specified timeframe with a regression (R) value of 0.97. Through NDVI analysis using the QGIS software, the visual diagrams show the increase in vegetation cover, illustrating a consistent rise over decades, emphasizing the government's demonstrated environmental conservation methods. The linear regression indicates a sustained increase in vegetation cover in Koronadal over the next decade. The rise in vegetation cover underscores the successful environmental preservation efforts and highlights the city's growing environmental resilience, emphasizing the need for sustainable land management practices in addressing environmental challenges.