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Integrating Satellite Data, Modeling, and Citizen Science to Derive Critical Insights into Urban Dynamics

  • Abhinav Wadhwa*
  • , Karn Vohra
  • , Elima Zholdubaeva
  • , Peiyuan Li
  • , Sicheng Wu
  • , William Bloss
  • , Ashish Sharma
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

Urban regions across the Great Lakes basin (USA) and the West Midlands/South Wales (UK) are undergoing rapid land-use transitions that intensify heat and hydrologic stresses. We develop a transferable, physics-informed framework that mosaics multi-sensor satellite imagery (Sentinel/Landsat; 10–20 m; 5–16-day revisit) to derive NDVI, NDWI, NDBI, LST, and flood masks and to map a composite urban heat island (UHI) proxy. Applied to Milwaukee, Detroit, Chicago, Cleveland, and Pittsburgh, and to Birmingham, Coventry, Wolverhampton, Cardiff, Swansea, and Newport, the workflow yields internally consistent cross-city diagnostics. Great Lakes cities exhibit higher built intensity (NDBI ≈ 0.30–0.35) and warmer surfaces (mean LST ≈ 29–31 °C) e.g., Detroit 30.1 °C; Chicago 29.5 °C with non-trivial flood exposure (≈ 9–14% of urban extent: Chicago 12%, Milwaukee 11%, Detroit 14%, Cleveland 10%, Pittsburgh 9%). UK cities are cooler and less flood-exposed overall, with lower built intensity (NDBI ≈ 0.24–0.29), mean LST ≈ 25–27.8 °C, and smaller flood fractions (≈ 6–10%); Birmingham shows the highest NDWI (0.68), while Coventry/Wolverhampton/Cardiff/Swansea/Newport have NDVI ≈ 0.36–0.40 and NDWI ≈ 0.47–0.52. Cross-index screening isolates priority zones ~ 18–22% of the combined urban area where low greenness (NDVI < 0.30), concentrated imperviousness (NDBI > 0.35), and limited surface-water signal (NDWI < 0.20) co-occur with the highest LST (> 30 °C) and elevated flood susceptibility; these hotspots consistently align with industrial waterfronts, logistics yards, and freeway corridors. Satellite diagnostics are designed to interface with WRF and SWMM for scenario testing and will be augmented with resident reports from U.S. 311 and UK council portals to refine validation. By ranking intra-urban risk with minimal city-specific tuning, the framework provides actionable evidence for targeted greening, cool-materials retrofits, and distributed stormwater controls, supporting climate-resilient urban design across diverse city contexts.
Original languageEnglish
Title of host publicationClimate Extremes and Emerging Solutions
Subtitle of host publicationData-Driven Insights and Geospatial Techniques
EditorsVikas Poonia, Somil Swarnkar, Priyamitra Munoth
PublisherSpringer, Cham
Chapter7
Pages107-124
Number of pages18
Edition1st
ISBN (Electronic)9783032144577
ISBN (Print)9783032144560, 9783032144591
DOIs
Publication statusPublished - 17 Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

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