EO4CUR workshop @ ACM SIGSPATIAL 2026

Climate-related extreme events have caused unprecedented economic and human losses across cities worldwide in 2024–2025, exposing critical gaps in operational risk assessment and resilience planning. Earth Observation (EO) data — from hyperspectral missions (PRISMA, EnMAP) to multispectral constellations (Sentinel-2, Landsat-9) and Synthetic Aperture Radar (Sentinel-1, COSMO-SkyMed) — offer unprecedented spatial, spectral, and temporal coverage to support exposure and vulnerability mapping, multi-hazard risk assessment (floods, windstorms, urban heat islands, wildfires), and scenario-based decision making for resilient cities.

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Despite this potential, three persistent gaps limit the operational use of EO for climate and urban resilience:

(i) fragmented integration of multi-scale EO with in-situ sensor networks, mobility traces, and administrative data;

(ii) the lack of reproducible open benchmarks for EO-specific challenges such as atmospheric correction, pansharpening, and cross-sensor fusion;

and (iii) the bridge between research-grade EO pipelines and the decision-support tools used by city planners, civil protection agencies, and infrastructure operators.

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The EO4CUR workshop addresses these gaps by establishing a dedicated forum on EO as data infrastructure for climate and urban resilience. Complementing existing SIGSPATIAL workshops, EO4CUR focuses specifically on the EO data lifecycle — sensor fusion, calibration, benchmarking, causal modeling — and its operational outputs: critical infrastructure monitoring, urban thermal-stress mapping, hazardous-material detection, and climate-risk decision support.