This is a handout from our webinar, "I Spy with My Little Eye...Something Green: Using Satellites to Assess Algal Blooms on Prairie Lakes". Satellite images are used to help understand the amount of algae in lakes and oceans. Scientists use algorithms to translate satellite images into measurements of algae by calculating chlorophyll concentrations. Water samples are taken to verify the representation of algae. Satellites are a cost-effective tool used by scientists to monitor and understand factors that affect the water quality of lakes.
Millions of dollars are spent each year in Canada on protecting waterways from urban and agricultural pollutants, excess nutrient input and keeping fisheries healthy. Increasingly limited funding for research and monitoring has resulted in federal and provincial agencies with budgets that preclude extensive temporal and spatial sampling of many of these lakes, resulting in poorly understood water quality in the majority of Manitoba water bodies. Remotely sensed imagery has been shown to be a cost effective way to monitor water quality on a broad scale. The Hudson Bay watershed includes a series of interconnected large lakes (Lakes Winnipegosis, Manitoba and Waterhen (“the upper MBGL”), which feed into Lake Winnipeg, the only outlet into Hudson Bay, where freshwater and marine systems meet and are transformed before flowing into the Arctic. This talk will highlight the use of remotely sensed images this watershed. Claire Herbert is the Data Manager for the Canadian Watershed Information Network (CanWIN) and the Program Manager for the Manitoba Great Lakes Program at the Centre for Earth Observation Sciences at the University of Manitoba. She has spent her 20 year career conducting freshwater ecosystem research in Canada and overseas, focusing on the effects of climate change on in-lake processes and remote sensing of algal blooms on prairie lakes. As data manager for CanWIN, Claire works with a global network of collaborators to make freshwater-marine science open and accessible.