QUANTIFYING CYANOBACTERIA AND HIGH BIOMASS BLOOMS FROM SATELLITE TO SUPPORT ENVIRONMENTAL MANAGEMENT AND PUBLIC USE OF U.S. LAKES AND ESTUARIES

摘要

Algal blooms of high biomass and cyanobacteria are on the rise, occurring both nationally and internationally. These blooms can foul beaches, clog water intakes, produce toxins that contaminate drinking water, and pose a threat to human and domestic animal health. A quantitative tool can aid in the management needs to respond to these issues. These blooms can affect many lakes within a state management district, pointing to the need for a synoptic and timely assessment. The 300 m Medium Resolution Imaging Spectrometer (MERIS) satellite imagery provided by the European Space Agency from 2002 to 2012 has led to advances in our ability to monitor these systems. Algorithms specific to quantifying high biomass blooms have been developed for use by state managers through a comparison of field radiometry, water quality and cell enumeration measurements, and remotely-sensed satellite data. These algorithms are designed to detect blooms even with atmospheric interference and suspended sediments. Initial evaluations were conducted for Florida lakes and the St. Johns River, Florida, USA and showed that cyanobacteria blooms, especially of Microcystis, can be identified and their biomass can be estimated (as chlorophyll concentration and other metrics). Forecasts and monitoring have been demonstrated for Lake Erie and for Florida. A multi-agency (NASA, EPA, NOAA, and USGS) project, “Cyanobacteria Assessment Network (CyAN)” intends to apply these methods to Sentinel-3 data in near real-time on a U.S. national scale, in order to support state management agencies in protecting public health and the environment.