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Found 10 records similar to Water Quality Remote Sensing
This dataset contains lake-wide algal bloom indices (extent, intensity, and severity) of Lake Erie on a daily basis over the June through October monitoring season. These data are derived from satellite remote sensing algorithms using European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) sensor on the Envisat satellite (2002-2012) and ESA's Ocean and Land Colour Instrument (OLCI) sensor on the Sentinel 3A and Sentinel 3B satellites (2016-present). Citation: Binding, C.E., Pizzolato, L., & Zeng, C. (2021). EOLakeWatch; delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes.
This dataset contains lake-wide algal bloom indices (extent, intensity, and severity) of Lake Winnipeg on a daily basis over the June through October monitoring season. These data are derived from satellite remote sensing algorithms using European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) sensor on the Envisat satellite (2002-2012) and ESA's Ocean and Land Colour Instrument (OLCI) sensor on the Sentinel 3A and Sentinel 3B satellites (2016-present). Citation: Binding, C.E., Pizzolato, L., & Zeng, C. (2021). EOLakeWatch; delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes.
This dataset contains lake-wide algal bloom indices (extent, intensity, and severity) of Lake of the Woods on a daily basis over the June through October monitoring season. These data are derived from satellite remote sensing algorithms using European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) sensor on the Envisat satellite (2002-2012) and ESA's Ocean and Land Colour Instrument (OLCI) sensor on the Sentinel 3A and Sentinel 3B satellites (2016-present). Citation: Binding, C.E., Pizzolato, L., & Zeng, C. (2021). EOLakeWatch; delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes.
This dataset contains annual algal bloom indices (duration, extent, intensity, severity) summary statistics (maximum, mean) over the June through October monitoring period for Lake of the Woods. These data are derived from satellite remote sensing algorithms using European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) sensor on the Envisat satellite (2002-2012) and ESA's Ocean and Land Colour Instrument (OLCI) sensor on the Sentinel 3A and Sentinel 3B satellites (2016-present). At the end of each monitoring season, data are presented in annual report format including current and historical summary statistics of algal bloom indices, alongside relevant imagery. Citation: Binding, C.E., Pizzolato, L., & Zeng, C. (2021).
This dataset contains annual algal bloom indices (duration, extent, intensity, severity) summary statistics (maximum, mean) over the June through October monitoring period for Lake Winnipeg. These data are derived from satellite remote sensing algorithms using European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) sensor on the Envisat satellite (2002-2012) and ESA's Ocean and Land Colour Instrument (OLCI) sensor on the Sentinel 3A and Sentinel 3B satellites (2016-present). At the end of each monitoring season, data are presented in annual report format including current and historical summary statistics of algal bloom indices, alongside relevant imagery. Citation: Binding, C.E., Pizzolato, L., & Zeng, C. (2021).
This dataset contains annual algal bloom indices (duration, extent, intensity, severity) summary statistics (maximum, mean) over the June through October monitoring period for Lake Erie. These data are derived from satellite remote sensing algorithms using European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) sensor on the Envisat satellite (2002-2012) and ESA's Ocean and Land Colour Instrument (OLCI) sensor on the Sentinel 3A and Sentinel 3B satellites (2016-present). At the end of each monitoring season, data are presented in annual report format including current and historical summary statistics of algal bloom indices, alongside relevant imagery. Citation: Binding, C.E., Pizzolato, L., & Zeng, C. (2021).
One component of this initiative aims to improve current understanding of nutrient dynamics and cyanobacterial and harmful bloom (cHAB) occurrences on Lake of the Woods. Research will focus on investigating the sources of nutrients and additional mechanisms influencing cHAB development and transport on the lake, determining cHAB composition and toxicity, and improving lake-wide monitoring capabilities through remote sensing observations. Results will document the status, trends, and drivers of blooms, and the risk they may pose, in order to inform on appropriate management and mitigation strategies. Here, as part of this effort, phosphorus concentrations are being provided.
This audit focused on whether Environment and Climate Change Canada and Agriculture and Agri-Food Canada took a coordinated and risk-based approach to reduce the impact of excess nutrients on ecosystem health in selected Canadian water basins. Our audit examined 3 water basins: Lake Erie, Lake Winnipeg, and Wolastoq, Saint John River. We selected these 3 water basins in part because they cross international or interprovincial borders and because each basin has significant or emerging harmful and nuisance algal blooms.
Blooms of filamentous benthic algae that plagued Lake Erie in the 1950s through 1970s were largely reduced through reductions of phosphorus (P) loading from point sources. Since the mid-1990s, these blooms have returned despite a period of relatively stable external P inputs. While increased loadings of dissolved P have been causally linked to cyanobacterial blooms in some parts of the lake, the impacts of ecosystem changes such as the effect of invasive species on nutrient cycling and availability have not been fully elucidated, leading to uncertainty as to the effectiveness of additional non-point P management actions. Here we use the oxygen isotope ratios (δ18OP) of phosphate in concert with measures of water quality along the northern shore of the east basin of Lake Erie to identify sources and pathways of P cycling and infer potential importance in relation to annual blooms of Cladophora that foul the shorelines of eastern Lake Erie.
The coast of South-Eastern Georgian Bay has numerous bays and inlets. This area is an important resource for drinking water, recreation and fish habitat. While offshore water quality of Georgian Bay is not impaired, nearshore embayments and inlets, in some instances, have been reported to experience water quality degradation. Concerns include excess nutrients, increased frequency of cyanobacteria blooms and hypoxia.