Status : Verified
| Personal Name | Manuel, Amihan Y. |
|---|---|
| Resource Title | Parameterization of the bio-optical model WASI-2D for water quality mapping of Laguna Lake using Sentinel-3 imagery |
| Date Issued | 28 June 2022 |
| Abstract | Lake Laguna de Bay is the largest freshwater lake in the Philippines with an area of approximately 900 km2. As a primary water source, the lake has been historically, economically, and ecologically significant to the communities surrounding it. Laguna de Bay lies at the center of urban development in Metro Manila, and it suffers from water quality degradation due to decades of industrial, household, and toxic pollution. With the increasing conflict regarding water use, allocation, and preservation of the lake, LLDA is expected to have a comprehensive resource management and monitoring system. Implementation of sustainable management strategies should also be supported by frequent monitoring. Gathering field data for the whole lake can be labor-intensive and costly, and remote sensing fills the need for a frequent and full overview of the lake’s water quality. The study makes use of bio-optical models to estimate chlorophyll-a, suspended particulate matter, and colored dissolved organic matter in Laguna Lake. Intensive fieldworks were done on November 2018 and March 2019 to calibrate the bio-optical models implemented in Water Colour Simulator (WASI) and to validate the output maps. A field spectral library for Laguna Lake during the wet and dry season was also created. For chlorophyll-a concentrations, the R2 was 0.61 and 0.65 for the wet and dry season images respectively. RMSE for chlorophyll-a estimates are at 37.4 ug/L and 36.4 ug/L for the wet and dry season respectively. After applying the corresponding linear fit equation, the RMSE was reduced to 2.36 ug/L for the wet season and 1.73 ug/L for the dry season. SPM estimates were compared to field turbidity values and resulted to an R2 of 0.11 for the wet season, and 0.66 for the dry season image. The same parameterization of WASI was applied to Sentinel-3 images within the wet season of 2018 and dry season of 2019. Sentinel-3 images with corresponding field data acquired by the MCWQM Project was used |
| Degree Course | MS Geomatics Engineering |
| Language | English |
| Keyword | remote sensing; water quality; bio-optical model; Laguna Lake |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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Category : P - Author wishes to publish the work personally.
Access Permission : Limited Access