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New AI-ready dataset launched for urban heat research

Researchers have introduced "Urban Heat MiniCubes," a new dataset designed to facilitate machine learning applications in urban heat research. This publicly available dataset offers harmonized data cubes for 48 cities, spanning 2022-2023, with variables pre-aligned to reduce preprocessing efforts. It integrates data from multiple satellite sources, including Landsat, Sentinel-1, and GOES-R, to provide a comprehensive view of urban thermal environments. AI

IMPACT Provides a standardized dataset to accelerate AI-driven research into urban heat island effects.

RANK_REASON The cluster describes a new dataset released as an academic paper on arXiv, intended for research purposes. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Jonathan Starfeldt, Maria J. Molina, Alexander Kerr, Adam Yang, Thomas R. H. Holmes, Christopher R. Hain ·

    Urban Heat MiniCubes: An AI-Ready dataset for urban heat research

    arXiv:2606.11534v1 Announce Type: cross Abstract: Urban heat is amplified by impermeable surfaces and heterogeneous built environments, yet street-level variability remains difficult to quantify because multi-sensor observations are rarely available in consistent, analysis-ready …