The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Apr 2024)

INVESTIGATING THE RELATIONSHIP OF WATER QUALITY ON LAND COVER CHANGE IN BORACAY ISLAND

  • D. B. Cabuyadao,
  • C. P. Paladin,
  • A. M. Tamondong,
  • J. M. Medina

DOI
https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-85-2024
Journal volume & issue
Vol. XLVIII-4-W8-2023
pp. 85 – 92

Abstract

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Boracay Island, renowned for its pristine beaches, faced challenges arising from haphazard practices on infrastructure and tourism management. A rehabilitation program was initiated which resulted in a significant reconstruction on its land. This study investigates the impact of Land Cover (LC) change caused by the rehabilitation program on water quality parameters (chl-a and TSM) across three key periods: pre-rehabilitation (2017), rehabilitation (2020), and post-rehabilitation (2022). Utilizing Sentinel-2 imagery, quarterly assessments of chl-a and TSM concentrations are conducted to evaluate water quality. The findings revealed significant variations in chl-a and TSM with significance values of 0.043 and 0.014, respectively, within zone 1 of Boracay Island. Post-hoc test revealed differences in chl-a concentrations between 2017 and subsequent years (2020, p = 0.038; 2021, p = 0.036 ; and 2022, p = 0.039) and between 2019 and subsequent years (2020, p = 0.043; 2021, p = 0.041; and 2022, p = 0.044); as well as in TSM concentrations between 2017 and subsequent years (2020, p = 0.006; 2021, p = 0.008; and 2022, p = 0.023) and between 2019 and subsequent years (2020, p = 0.014; 2021, p = 0.019; and 2022, p = 0.049). However, no significant correlation exists between LC and water quality parameters. It is recommended to refine LC classification through high-resolution satellite imagery, consider extended timeframes, and investigate additional water quality parameters. This study contributes valuable insights into Boracay Island’s environmental transformations, guiding sustainable coastal management in similar contexts.