UW_Thesis_Chapter_3

A Comprehensive Evaluation of Semi-Empirical Retrieval Schemes for Satellite-Based Chl-a Modelling in Oligo-Mesotrophic Waters: A Case Study of Western Lake Ontario

Ali Reza Shahvaran1,2,3,*, Homa Kheyrollah Pour2,4, and Philippe Van Cappellen1,3

1 Ecohydrology Research Group, Department of Earth and Environmental Sciences, University of Waterloo, Ontario, Canada, N2L 3G1

2 Remote Sensing of Environmental Change (ReSEC) Research Group, Department of Geography and Environmental Studies, Wilfrid Laurier University, Waterloo, Ontario, Canada, N2L 3C5

3 Water Institute, University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1

4 Cold Regions Research Centre, Wilfrid Laurier University, Waterloo, Ontario, Canada, N2L 3C5

This repository aims to serve as a comprehensive resource for researchers and professionals looking to leverage satellite-based Chl-a modeling for water quality analysis, particularly in oligo-mesotrophic waters.

Repository Structure

• AllData.xlsx: Contains the primary dataset used in this research. Preview here

• Python: Folder containing Python scripts.

  • Merge.py: Merges and preprocesses multiple Excel files.

  • RFImportance.py: Computes feature importance using Random Forest.

  • Models.py: Performs linear regressions on datasets.

  • CorrelationAnalysis.py: Computes correlation metrics between specified columns.

• MATLAB: Folder containing MATLAB scripts.

  • Rsquared_Heatmap.m: Generates heatmaps visualizing R2 values of products.

  • RFImportance_Barplots.m: Visualizes importance scores using stacked bar plots.

  • Mod_vs_Meas.m: Generates scatter plots of measured vs. modeled Chl-a concentrations.

  • CorrelationAnalysis.m: Produces scatter plots for different categories based on Excel data.

Original Data Sources

• FRDR → https://doi.org/10.20383/102.0713

• HH Water Quality Data → https://data.ec.gc.ca/data/sites/areainterest/hamilton-harbour-area-of-concern/hamilton-harbour-water-quality-data/

• Great Lakes Nearshore - Water Chemistry → https://data.ontario.ca/dataset/water-chemistry-great-lakes-nearshore-areas)

• Great Lakes Water Quality Monitoring and Surveillance Data → https://data-donnees.ec.gc.ca/data/substances/monitor/great-lakes-water-quality-monitoring-and-aquatic-ecosystem-health-data/

• USGS EarthExplorer (for Landsat) → https://earthexplorer.usgs.gov/

• Copernicus Data Hub (for Sentinel 2) → https://scihub.copernicus.eu/

Usage

To execute the scripts, ensure the required dependencies are installed:

• For Python scripts: os, pandas, numpy, and sklearn.

• For MATLAB scripts: MATLAB environment.

Make sure to update paths to datasets and other files as necessary in each script.

License

The code and data in this repository are licensed under CC BY 4.0.

References

For any queries or further clarifications, please contact Ali Reza Shahvaran at alireza.shahvaran@uwaterloo.ca.