The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Modified MODIS fluorescence line height data product to improve image interpretation for red tide monitoring in the eastern Gulf of Mexico.
Open accessAbstract
Several satellite-based methods have been used to detect and trace Karenia brevis red tide blooms in the eastern Gulf of Mexico. Some require data statistics and multiple data products while others use a single data product. Of these, the MODIS normalized fluorescence line height (nFLH) has shown its advantage of detecting blooms in waters rich in colored dissolved organic matter, thus having been used routinely to assess bloom conditions by the Florida Fish and Wildlife Conservation Commission (FWC), the official state agency of Florida responsible for red tide monitoring and mitigation. However, elevated sediment concentrations in the water column due to wind storms can also result in high nFLH values, leading to false-positive bloom interpretation. Here, a modified nFLH data product is developed to minimize such impacts through empirical adjustments of the nFLH values using MODIS-derived remote sensing reflectance in the green band at 547 nm. The new product is termed as an algal bloom index (ABI), which has shown improved performance over the original nFLH in both retrospective evaluation statistics and near real-time applications. The ABI product has been made available in near real-time through a Web portal and has been used by the FWC on a routine basis to guide field sampling efforts and prepare for red tide bulletins distributed to many user groups.
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Cursory examination of other algorithms in the red-edge portion of the electromagnetic spectrum, such as the Algal Bloom Index (ABI) and Maximum Peak Height (MPH) chlorophyll, indicates that RBD is more useful at delineating these blooms when they are fluorescing.
“Our cursory examination of other algorithms in the rededge portion of the electromagnetic spectrum, such as the Algal Bloom Index (ABI; Hu and Feng, 2016), which is another algorithm that includes fluorescence, and Maximum Peak Height (MPH) chlorophyll (Matthews and Odermatt, 2015) indicates that RBD is more useful at delineating these blooms when they are fluorescing.”
From Current and Future Remote Sensing of Harmful Algal Blooms in the Chesapeake Bay to Support the Shellfish Industry (2020) · cites this paper as Hu and Feng, 2016
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Metadata
- Authors
- Hu, C., & Feng, L.
- Affiliations
- University of South Florida (US)
- Venue
- Journal of Applied Remote Sensing
- Publisher
- SPIE-Intl Soc Optical Eng
- Published
- 2016-12-20
- Volume
- 11
- Issue
- 01
- Pages
- 1-14
- ISSN
- 1931-3195 (ISSN-L)
- OpenAlex
- W2563407472
- Cited by
- 56
- References
- 31
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 6 · 2023: 11 · 2022: 3 · 2021: 5 · 2020: 4 · 2019: 6 · 2018: 4 · 2017: 1
- FWCI
- 2.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Applied Remote Sensing (publishedVersion, cc-by)
- Digital Commons - University of South Florida (University of South Florida) (submittedVersion, cc-by)
- Funders
- National Aeronautics and Space Administration
- Topics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Plankton and Biogeochemistry
- Physical Sciences › Environmental Science › Environmental Chemistry › Marine Toxins and Detection Methods
- Physical Sciences › Earth and Planetary Sciences › Earth-Surface Processes › Coastal and Marine Dynamics
- Keywords
- Karenia brevis, red tide, algal bloom detection, fluorescence line height, MODIS, remote sensing reflectance, near real-time monitoring, eastern Gulf of Mexico, Florida Fish and Wildlife Conservation Commission
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