The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of
ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than
optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of
ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than
optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Cyanobacteria Assessment Network (CyAN) is a multi-agency project among EPA, the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) to support the environmental management and public use of U.S. lakes and estuaries by providing a capability of detecting and quantifying cyanobacteria algal blooms. The sensor spatial resolution is 300m. The CONUS images use a 50m land mask, while the Alaska product uses a less refined 500m land mask. The temporal resolution depends on the sensor and date with best coverage since 2018, as images utilize sensors on two Sentinel-3 satellites.

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of
ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than
optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of
ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than
optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of
ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than
optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Cyanobacteria Assessment Network (CyAN) is a multi-agency project among EPA, the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) to support the environmental management and public use of U.S. lakes and estuaries by providing a capability of detecting and quantifying cyanobacteria algal blooms. The sensor spatial resolution is 300m. The CONUS images use a 50m land mask, while the Alaska product uses a less refined 500m land mask. The temporal resolution depends on the sensor and date with best coverage since 2018, as images utilize sensors on two Sentinel-3 satellites.

Cyanobacteria Assessment Network (CyAN) is a multi-agency project among EPA, the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) to support the environmental management and public use of U.S. lakes and estuaries by providing a capability of detecting and quantifying cyanobacteria algal blooms. The sensor spatial resolution is 300m. The CONUS images use a 50m land mask, while the Alaska product uses a less refined 500m land mask. The temporal resolution depends on the sensor and date with best coverage since 2018, as images utilize sensors on two Sentinel-3 satellites.

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of
ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than
optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.