FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models

arXiv:2610.05790 · cs.CV · Submitted 2026-10-05 · Read on arXiv

cs.CV

Submitted: 2026-10-05

Updated: 2026-10-05

Comments: 13

Code: https://github.com/aminurhossain/FairRSFM

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes

Sources

• EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation
• A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
• REOBench: Benchmarking Robustness of Earth Observation Foundation Models
• Coverage Biases in High-Resolution Satellite Imagery
• Evaluation Challenges for Geospatial ML
• Supervised Algorithmic Fairness in Distribution Shifts: A Survey
• Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining
• GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models
• Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation

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