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GABAN

The Global Algal Blooms Assessment Network (GABAN), an SNWG solution, aims to provide an automated algal bloom hotspot product using data from multiple platforms and instruments.

Background

Harmful Algal Blooms (HABs) pose a threat to environmental and public health by producing toxins and consuming oxygen. Algal blooms have unique spectral signatures which enable detection by satellite remote sensing. Federal agencies seek a mechanism to identify anomalous algal blooms world-wide that may impact fisheries and other water resources. This information is important when blooms are the result of natural disasters for it may allow agencies to better plan their responses.

Status: In Development

This Satellite Needs Working Group (SNWG) solution will implement an automated algal bloom hotspot product based on satellite data from multiple ocean color platforms and instruments:

  • Aqua: Moderate Resolution Imaging Spectroradiometer (MODIS)
  • Suomi National Polar-orbiting Partnership (NPP), Joint Polar Satellite System (JPSS)-1,2: Visible Infrared Imaging Radiometer Suite (VIIRS
  • Sentinel-3: Ocean and Land Colour Instrument (OLCI)
  • Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE)
  • Commercial systems may also be considered

The product will be based on a merged chlorophyll product for coastal waters and large lakes. Monitoring will focus on regions distributed globally that are vulnerable to harmful algal blooms, but global monitoring will be available at a moderate resolution. A GABAN prototype is currently underway and expected to be available for user testing during 2027.

Solution Characteristics

Platforms and InstrumentsAqua: MODIS 
Suomi-NPP, JPSS-1/2: VIIRS 
Sentinel-3: OLCI
PACE: Ocean Color Instrument (OCI)
Output VariablesChlorophyll concentration, presence of absence of a bloom
Processing Level3 and 4
Temporal CoverageDaily to weekly composites
Temporal FrequencyDaily
Latency1 day - 1 week
Spatial CoverageRegional
Spatial Resolution1 km
Data FormatNetCDF-4

Societal Impact

HABs are a direct threat to environmental and public health. Mitigation and avoidance require information on the location and extent of algal blooms at high temporal resolution. This solution will show the presence of algal blooms in regions distributed globally that are vulnerable to harmful algal blooms.​