Algorithm Improves Accuracy of Ocean Color Data for Monitoring Water Quality; May Inform Future Water Quality Management in Northeast
Ocean color data from satellites have been successfully used by scientists for measuring and monitoring water quality indicators. However, the accuracy of such measurements can be reduced in the presence of air pollution and dust, which are especially persistent along the U.S. Northeast. Scientists from the Center for Coastal Monitoring and Assessment (CCMA) have developed an algorithm to correct for pollution and dust effects in data from the Sea-viewing Wide Field-of-View Sensor. Improved means of monitoring water quality via ocean color may assist Northeast coastal and ocean managers in designing and implementing water quality management strategies. CCMA scientists are also collaborating with scientists from the National Environmental Satellite, Data, and Information Service to evaluate the transferability of the algorithm to data to be derived from NOAA satellites, including the Visible Infrared Imager Radiometer Suite and the Geostationary Operational Environmental Satellites. For more information, contact Varis Ransi at (301) 713 3028 x142 or email@example.com.