Assessing the Eutrophication Potential of Manila Bay using Landsat 8-derived NDVI and NDWI Parameters

Proponent/s Name/s (Last Name, First Name, Middle Initial)

Sean Andre D. Calajate, De La Salle University Integrated School - Manila CampusFollow
Francis Edric M. Robles, De La Salle University Integrated School - Manila CampusFollow
Maria Francesca I. Rojas, De La Salle University Integrated School - Manila CampusFollow
Tristan Josef A. Tolentino, De La Salle University Integrated School - Manila CampusFollow

Document Types

Poster Presentation

School Name

De La Salle University Manila

Track or Strand

Science, Technology, Engineering, and Mathematics (STEM)

Research Advisor (Last Name, First Name, Middle Initial)

Masongsong, Angela Nicole, S.

Start Date

23-6-2025 10:30 AM

End Date

23-6-2025 12:00 PM

Zoom Link/ Room Assignment

5th Floor Breakout Function Room (501-503), Enrique K. Razon Jr. Hall, DLSU Laguna Campus

Abstract/Executive Summary

Eutrophication, characterized by the presence of excess aquatic nutrients, poses a detrimental environmental threat to Philippine water bodies such as Manila Bay—consequently degrading water quality and augmenting algal blooms that harm aquatic life. This may be caused by a variety of issues such as urbanization and assorted nutrient overloading. Thus, monitoring of its susceptibility to eutrophication is a valuable step in mitigating its potential effects. This study utilized Landsat-8 derived satellite imagery of Manila Bay to analyze the eutrophication potential of the bay from January 2024 to December 2024 using the open-access QGIS software for processing. Two spectral indices: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI), which are commonly used for monitoring vegetation quality and mapping of water bodies, respectively, were used to map and analyze the eutrophication potential of Manila Bay and three selected focus areas (commercial, vegetation, and Pasig River outlet) across 12 months and during the wet and dry seasons. Data collection and processing resulted in the creation of maps that visualize eutrophication potential per month, per Philippine season, and per chosen focus area. Additionally, multiple graphs were also created to visualize and compare changes in eutrophication potential overtime. The study recommends the verification of results through various field validation techniques, either in conjunction with remote sensing or as an alternative technique itself. Additionally, other eutrophication parameters, indicators, and indices are also recommended for further analysis.

Keywords

Manila Bay; Landsat 8; eutrophication; NDVI; NDWI

Research Theme (for Paper Presentation and Poster Presentation submissions only)

Sustainability, Environment, and Energy (SEE)

Initial Consent for Publication

yes

Statement of Originality

yes