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.
Relevant UN Sustainable Development Goals:
• Goal 6: Ensure availability and sustainable management of water and sanitation for all
• Target 6.6: By 2030, protect and restore water-related ecosystems, including mountains, forests, wetlands, rivers, aquifers and lakes
Course Dates: July 18, 20, & 25, 2023
Times: 10:00-12:00 or 15:00-17:00 EDT (UTC-4); There will be identical sessions at two different times of the day. Participants need only to register and attend one daily session.
Course Format: Three, 2-hour parts including Q&A