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Monitoring water quality of inland lakes using remote sensing. Part 2: Cyanobacteria Assessment Netork (CyAN)
Citation:
Schaeffer, B., B. Seegers, AND D. Sobota. Monitoring water quality of inland lakes using remote sensing. Part 2: Cyanobacteria Assessment Netork (CyAN). NASA Applied Remote Sensing Training Program, Virtual, NC, July 20, 2023.
Impact/Purpose:
This advanced-level training will focus on using remote sensing observations from Landsat 8 and 9, Sentinel-2, and Sentinel-3 for assessing water quality parameters, including chlorophyll-a concentration, turbidity, and Total Suspended Solids (TSS) in inland lakes. This training will also highlight the importance of in situ measurements of these parameters, coincident with satellite observations, in developing methodologies for operational water quality monitoring. Participants will perform hands-on exercises in Google Earth Engine (GEE) to access satellite data and develop methodologies to assess water quality parameters. In addition, an overview of Cyanobacteria Assessment Network (CyAN), an early warning system to assess algal blooms in freshwater lakes will be provided.
Description:
CyAN is a multi-agency project to develop an early warning indicator system to detect algal blooms in U.S. freshwater systems. This research supports federal, state, tribal, and local partners in their monitoring efforts to assess water quality to protect aquatic and human health. The mission of the CyAN project is to support the environmental management and public use of U.S. lakes and estuaries by providing a useful and accessible approach to detecting and quantifying algal blooms and related water quality using satellite data records.
