aiBACKGROUND
Evaluating the Alignment Between GeoAI Explanations and Domain Knowledge in Sate
BACKGROUND
1 SIGNALFIRST DETECTED 30 April 2026
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How the story developed
30 Apr
Evaluating the Alignment Between GeoAI Explanations and Domain Knowledge in Satellite-Based Flood Mapping
REPORT · WHAT · ArXiv CS.AI
6.1
Other feeds and industry voices
28 Apr
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
arXiv:2604.22662v1 Announce Type: cross Abstract: Shapley values are a cornerstone of explainable AI, yet their proliferation into competing formulations has created a fragmented
REPORT · WHAT · ArXiv CS.AIOPEN STORY
5 May
Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping
arXiv:2605.00315v1 Announce Type: cross Abstract: As climate extreme and disaster events become more frequent and intense, Geospatial Artificial Intelligence (GeoAI) has emerged
REPORT · WHAT · ArXiv CS.AIOPEN STORY
30 Jun
Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution
arXiv:2606.28039v1 Announce Type: cross Abstract: Demand for high-resolution satellite imagery has increased interest in super-resolution (SR) to bridge the spatial resolution gap
REPORT · WHAT · ArXiv CS.AIOPEN STORY
Sources
ArXiv CS.AI
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