Recent advances in Large Language Models (LLMs) have led to dramatic
improvements in question answering (QA). To address the challenge of evaluating
QA systems, standardized benchmarks have been introduced. This work focuses on
the problem of geospatial QA, where a large collection of geospatial data is available
in the form of a spatial database or other forms. Existing work on geospatial QA
benchmarks has various limitations, including a small number of questions, limited …

The timely detection of disasters is essential for effective emergency response.
Traditional satellite-based monitoring provides accurate hazard observations but
suffers from acquisition delays and weather-dependent imaging conditions.
Therefore, recent research increasingly uses rapidly available digital data such as
social media, news, and weather observations. However, most approaches analyse
these sources in isolation and lack standardised evaluation. We address this gap …