Urban Heat MiniCubes: New AI-Ready Dataset Released for Urban Heat Research
Scientists have published 'Urban Heat MiniCubes,' a publicly available, machine-learning-ready dataset covering urban heat observations across 48 cities in the Western Hemisphere for 2022–2023. The dataset harmonizes satellite data from multiple sensors—including Landsat 8/9, Sentinel-1, and GOES-R—into consistent 90×90 km gridded cubes to reduce preprocessing burdens for researchers. It aims to fill a critical gap in street-level urban heat variability research by making multi-sensor data consistently available in analysis-ready form.
Urban Heat MiniCubes is a newly released, FAIR-oriented (Findable, Accessible, Interoperable, Reusable) dataset designed to support machine learning research on urban heat islands and related phenomena. Covering 48 cities across the Western Hemisphere over 2022–2023, the dataset harmonizes observations from four satellite sources: Landsat 8/9 for high-spatial-resolution surface reflectances, Sentinel-1 for synthetic aperture radar backscatter, GOES-R for high-temporal-frequency longwave infrared brightness temperatures, and a microwave land surface temperature product. All variables are reprojected and collocated to a common grid, substantially reducing the preprocessing work typically required to align multi-sensor data. The dataset's technical quality is assessed through inter-variable analyses and autoencoder-based reconstruction-error summaries across pixel classes such as water and cloud. The paper, submitted to Nature Scientific Data, also documents potential use cases and limitations, and the dataset is intended to accelerate AI-driven investigation of how impermeable surfaces and heterogeneous built environments amplify urban heat.
What's missing
Coverage is restricted to the Western Hemisphere and a single two-year window (2022–2023), which may limit generalizability to other regions or longer climate trends. As a preprint submitted to Nature Scientific Data, the work has not yet completed peer review.
What different sources said
- arXiv cs.LGCenter
Urban Heat MiniCubes: An AI-Ready dataset for urban heat research
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