International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

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

Chloie Justine L. DominisacStudent, Notre Dame of Marbel University – Integrated Basic Education Department, PhilippinesPauline Lois D. LechugasStudent, Notre Dame of Marbel University – Integrated Basic Education Department, PhilippinesJustin Kyle C. PedreñaStudent, Notre Dame of Marbel University – Integrated Basic Education Department, PhilippinesHanz Denise E. SuacilloStudent, Notre Dame of Marbel University – Integrated Basic Education Department, PhilippinesKarl Evan R. PamaFaculty, Notre Dame of Marbel University – Integrated Basic Education Department, PhilippinesDenzelle Mae E. SuacilloEnvironmental Management Specialist, DENR-Environmental Management Bureau Region XII, Philippines

Vol 8 No 6 (2024): Volume 8, Issue 6, June 2024 | Pages: 121-129

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 19-06-2024

doi Logo doi.org/10.47001/IRJIET/2024.806015

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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.

Keywords

satellite imagery, QGIS, linear regression, Landsat, climate action, technology


Citation of this Article

Chloie Justine L. Dominisac, Pauline Lois D. Lechugas, Justin Kyle C. Pedreña, Hanz Denise E. Suacillo, Karl Evan R. Pama, & Denzelle Mae E. Suacillo. (2024). NDVI-Based Assessment of Vegetation Cover in Koronadal City Using GIS and Remote Sensing. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(6), 121-129. Article DOI https://doi.org/10.47001/IRJIET/2024.806015

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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