Evaluation and refinement of chlorophyll-a algorithms for high-biomass blooms in San Francisco Bay (USA)
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- Data Release: USGS data release - Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the San Francisco Bay, California: 2021-2022 High-resolution mapping surveys
- Open Access Version: Publisher Index Page
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Abstract
A massive bloom of the raphidophyte Heterosigma akashiwo occurred in summer 2022 in San Francisco Bay, causing widespread ecological impacts including events of low dissolved oxygen and mass fish kills. The rapidly evolving bloom required equally rapid management response, leading to the use of near-real-time image analysis of chlorophyll from the Ocean and Land Colour Instrument (OLCI) aboard Sentinel-3. Standard algorithms failed to adequately capture the bloom, signifying a need to refine a two-band algorithm developed for coastal and inland waters that relates the red-edge part of the remote sensing reflectance spectrum to chlorophyll. While the bloom was the initial motivation for optimizing this algorithm, an extensive dataset of in-water validation measurements from both bloom and non-bloom periods was used to evaluate performance over a range of concentrations and community composition. The modified red-edge algorithm with a simplified atmospheric correction scheme outperformed existing standard products across diverse conditions, and given the modest computational requirements, was found suitable for operational use and near-real-time product generation. The final version of the algorithm successfully minimizes error for non-bloom periods when chlorophyll a is typically <30 mg m−3, while also capturing bloom periods of >100 mg m−3 chlorophyll a.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Evaluation and refinement of chlorophyll-a algorithms for high-biomass blooms in San Francisco Bay (USA) |
| Series title | Remote Sensing |
| DOI | 10.3390/rs16061103 |
| Volume | 16 |
| Issue | 6 |
| Year Published | 2024 |
| Language | English |
| Publisher | MDPI |
| Contributing office(s) | California Water Science Center |
| Description | 1103, 15 p. |
| Country | United States |
| State | California |
| Other Geospatial | San Francisco Bay |
| Google Analytic Metrics | Metrics page |