Canadian Boreal-Tundra Vegetation and Surface Energy Flux Trends

Amaogu et al. (2025) developed Python scripts and geospatial datasets analyzing northward vegetation expansion and its climate impacts. The repository includes processed vegetation and land-cover products, NDVI trend analyses, and seasonal surface energy flux trend datasets. These materials support the study's findings on surface-cooling feedbacks across Canadian ecozones.

Use Cases

• Reproduce the analysis of net surface-cooling feedbacks based on the provided Python scripts and workflows.
• Analyze trends in NDVI and seasonal surface energy fluxes across Canadian boreal-tundra ecozones.
• Reuse the processed vegetation and land-cover products for comparative studies on high-stature vegetation expansion.

Strengths

• Includes the complete analysis code and workflows for full transparency and reproducibility.
• Provides final spatial outputs in an ESRI File Geodatabase for direct use in GIS applications.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Developed for the study by Amaogu et al. (2025), likely from processed satellite and remote sensing products.

Freshness

Last updated 2026-06-20 04:11:43; freshness should be verified.

Geography

Canadian boreal and tundra ecozones.