Talia Koll-Egyed
MSc of Natural Resource Sciences
Research Interests: Lakes, Coloured dissolved organic matter, Secchi disk depth, Remote sensing, Landsat- 8, Sentinel-2, Google Earth Engine
Canada is rich in freshwater resources, boasting approximately 20% of the global supply. These resources are under increasing human pressure, with climate change already impacting both the availability and quality of freshwater. Despite their importance in Canada, a national-scale accounting of lake water parameters has, until very recently, been impossible. With the large field effort of the NSERC Lake Pulse Strategic Network, hundreds of lakes have been sampled as the basis for a nationwide lake assessment. Yet with hundreds of thousands of never-sampled lakes to consider, satellite data provides the only viable means for extensive monitoring of these bodies of water. The primary objective of my thesis is to develop algorithms to predict the concentration of coloured dissolved organic matter and Secchi disk depth. This research will expand our knowledge of lake water quality parameters at a country-wide scale and provide a baseline estimate for carbon content in the lakes of Canada.
Research Interests: Lakes, Coloured dissolved organic matter, Secchi disk depth, Remote sensing, Landsat- 8, Sentinel-2, Google Earth Engine
Canada is rich in freshwater resources, boasting approximately 20% of the global supply. These resources are under increasing human pressure, with climate change already impacting both the availability and quality of freshwater. Despite their importance in Canada, a national-scale accounting of lake water parameters has, until very recently, been impossible. With the large field effort of the NSERC Lake Pulse Strategic Network, hundreds of lakes have been sampled as the basis for a nationwide lake assessment. Yet with hundreds of thousands of never-sampled lakes to consider, satellite data provides the only viable means for extensive monitoring of these bodies of water. The primary objective of my thesis is to develop algorithms to predict the concentration of coloured dissolved organic matter and Secchi disk depth. This research will expand our knowledge of lake water quality parameters at a country-wide scale and provide a baseline estimate for carbon content in the lakes of Canada.
