Overview of Saffbird and Its Data Challenges

Saffbird is a benchmark dataset designed for bird species distribution modeling that leverages remote sensing data. The dataset incorporates satellite imagery and environmental variables from two regions, the US and Kenya, highlighting the complexity and challenges of working with imbalanced datasets. The differences in species observation frequencies between the US and Kenya necessitate specific modeling approaches, as ecological data availability is markedly lower in the latter. This imbalanced representation can complicate the analysis and requires careful consideration of the underlying methodologies used for modeling.