ArticleScientific reports2025
Urban heat island linkages with the landscape morphology.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Spatial prioritization of vegetation-based climate adaptation pathways in tropical megacity Jakarta, Indonesia.Scientific reports · 2026Article
- Machine and deep learning-based forecast of Tehran's accelerating nighttime surface heat island crisis.Scientific reports · 2026Article
- Urban sustainability in the global south.Scientific reports · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The landscape consists of a mosaic of interacting ecosystem elements, which maintain stability and aid in sustaining crucial services. Unplanned developmental activities leading to the transition of pervious surfaces into impervious/paved surfaces have significant implications for the urban climate, mainly through the phenomenon of urban heat islands (UHIs). Changes in landscape integrity could be quantified through land use (land cover) assessment and urban heat island effect through spatial computation of land surface temperature (LST). The current research uses multi-resolution remote sensing data to evaluate UHIs with landscape dynamics and assess the complex spatial interrelationships in heterogeneous urban landscapes at micro-levels. The composition of pervious and impervious surfaces at the micro-level plays a pivotal role in regulating thermal comfort. Landscape configuration at microlevels, predominantly barren (C1 class) and urban (C2 class) areas, constitute hotspots with higher temperatures. UHI was mapped through the urban hotspot and Urban thermal field variance index (UTFVI) analysis. Urban hotspot analysis shows the 15.41 km
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