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                    Section 1: Overview
                                
Name of Research Project
                                
                Dataset Title
                
                    Monthly and weekly aggregates of satellite-based Land/lake Surface temperature of MODIS sensor (merged MODIS-Aqua and MODIS-Terra)  in Lake Erie and Lake Ontario
                
                                
    Creators
            
                |
| Van Cappellen, Philippe  | principalInvestigator |  |  |  | 
| Kheyrollah Pour, Homa | Originator |  |  |  | 
| Duguay, C.R. | Collaborator |  |  |  | 
             
                                
                Purpose
                
                    Nuisance and harmful algal blooms represent a major, and growing, threat to water security across Canada and the world, because of their undesirable ecological, economic, and health impacts. This project aims to strengthen the predictive understanding and forecasting of the timing, spatial extent and intensity of algal blooms in large lakes of the cold temperate to subarctic climate zone. We will (1) perform statistical analyses of the environmental factors that control the occurrence of algal blooms in Lake Erie and Lake Ontario using remote sensing data, and (2) test the performance of data-driven probabilistic models for seasonal and inter-annual forecasting of algal blooms.  Note, that this research is part of the “Lake Futures: Enhancing Adaptive Capacity and Resilience of Lakes and Their Watersheds: Work Package 2". Lake Futures is a Pillar 3 project under the Global Water Futures Program funded by Canada First Research Excellence Fund.
                
                                
                Abstract
                
                    To assess and unravel the changes that affect lentic ecosystems, long-term data-series are of paramount importance. The need for more effective environmental monitoring has led to notable advances in satellite technology and algorithm development, including enhanced ocean color sensor data acquisition capabilities to detect and map phytoplankton blooms with adequate spatial and temporal resolution. The MODerate-resolution Imaging Spectroradiometer (MODIS) captures data in 36 spectral bands ranging in wavelength from 0.4 μm to 14.4 μm and at varying spatial resolutions (2 bands at 250 m, 5 bands at 500 m and 29 bands at 1 km). All data collected between 2012 and 2017 was aggregated to weekly and monthly values. All data is currently available on the GWF Cuizinart. Researchers interested in the data from the GWF Cuizinart can email Homa Kheyrollah Pour (University of Waterloo; h2kheyrollahpour@uwaterloo.ca).
                
                                
    Keywords
            
                |
| Algal bloom | 
| Lake Erie and Lake Ontario | 
             
                                
                Citations
                
                    Kheyrollah Pour, H, Van Cappellen, P., and C.R. Duguay (2019). Monthly and weekly aggregates of satellite-based Land/lake Surface temperature of MODIS sensor (merged MODIS-Aqua and MODIS-Terra)  in Lake Erie and Lake Ontario. Waterloo, Canada: Canadian Cryospheric Information Network (CCIN). Unpublished Data.
                
                 
                
                    Section 4: File Locations
                                
                Repository (e.g., FRDR, Dataverse, GitHub)
                Cuizinart
                                
                Current File Locations
                
                    
                
                 
                
                    Section 5: Download Links
                                
                Download Links and/or Instructions
                
                                
    
        Do these data have access restrictions