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cloud.google.com·6h ago
AI Research
arXiv CS.AI·25d ago·5 min read
A Systematic Evaluation of the COTQ Provincial Land Cover Product: Structural Consistency, Spectral Separability, and Relative Positioning Against ESA, ESRI, and Google Products
TL;DR
A new 10-meter land cover product, COTQ, was developed for Quebec to enhance land monitoring. It shows structural and spectral similarities to ESA WorldCover, with notable differences in urban and wetland classifications.
✦ Why It Matters
Consider using the COTQ product for more accurate land monitoring in Quebec's diverse ecological regions.
Key Takeaways
- Utilize COTQ for annual land monitoring in Quebec.
- Compare COTQ with ESA WorldCover for urban and wetland assessments.
- Leverage structural indicators for evaluating land cover products.
- Explore spectral separability metrics for improved classification accuracy.
Full Summary
High-resolution land use and land cover (LULC) products are essential for environmental monitoring, but their effectiveness can vary in regions with diverse ecological conditions. In response, a provincial 10-meter land cover product called COTQ was created for Quebec to facilitate annual monitoring of land use and soil artificialization.
This study systematically evaluates COTQ against three global datasets: ESA WorldCover, ESRI LandCover, and Google DynamicWorld. The evaluation employed structural indicators, such as object-size distributions and shape complexity, alongside spectral separability metrics derived from Sentinel-2 imagery.
Results indicate that COTQ aligns most closely with ESA WorldCover, although it exhibits systematic differences in class definitions, particularly for urban areas and wetlands. This comprehensive analysis provides valuable insights into COTQ's performance and its role in operational land monitoring in Quebec.