EventsThe 6th International Electronic Conference on Remote Sensing
Published
This submission belongs to the session S5. Remote Sensing in Urban Areas of the event The 6th International Electronic Conference on Remote Sensing
Published date
14 Oct, 2026
Academic Editor
author-avatarRiccardo Buccolieri
Contribution&Funding
Conceptualization,
[Jordi Cipriano] ; [Gerard Mor]
Methodology,
[Kerin Cardona]
Software,
[Gerard Mor]
Formal analysis,
[Kerin Cardona]
Investigation,
[Kerin Cardona]
Resources,
[Jordi Cipriano]
Data curation,
[Gerard Mor]
Writing - original draft,
[Kerin Cardona]
Writing - review,
[editing] ; [Jordi Cipriano]
Supervision,
[Gerard Mor]
Project administration,
[Jordi Cipriano]
Funding acquisition,
[Jordi Cipriano]
Funding: --
Citation
Kerin Cardona, Jordi Cipriano, Gerard Mor, Twelve-Year Landsat-Derived Surface Urban Heat Island Intensity by Local Climate Zone in Barcelona (2013–2024), in Proceedings of The 6th International Electronic Conference on Remote Sensing, 19 October–21 October 2026, MDPI: Basel, Switzerland
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Twelve-Year Landsat-Derived Surface Urban Heat Island Intensity by Local Climate Zone in Barcelona (2013–2024)

Gerard Mor 1
1. Building Energy and Environment Group, International Centre for Numerical Methods in Engineering (CIMNE), Lleida, 25005, Spain
Abstract

Introduction: Outdoor thermal exposure depends strongly on urban surface temperature, yet long-term, high-resolution land surface temperature (LST) climatologies remain scarce for Mediterranean cities.
Methods: We built a twelve-year (2013–2024) Landsat-derived LST climatology for a 464 km² window over the Barcelona metropolitan area at 30 m from 378 cloud-filtered Landsat 8/9 Collection 2 Level-2 scenes, producing seasonal median LST maps and quantifying Surface Urban Heat Island (SUHI) intensity by Local Climate Zone (LCZ) following Bechtel et al. (2019), with LCZ D (low plants) as the rural reference. The climatology was checked against ERA5-Land skin temperature (325 matched pairs) as a seasonal-cycle consistency test, and against ECOSTRESS 70 m LST (seven near-coincident scene pairs, |Δt| ≤ 2 h) as an independent consistency assessment.
Results: Summer daytime (JJA) LST shows a distinct thermal hierarchy: large low-rise zones (LCZ 8) reach the highest median LST (316.4 K), +1.4 K above the rural reference, followed by heavy industry (LCZ 10, +1.0 K), whereas dense tree cover (LCZ A) is 8.0 K cooler. Hotspot analysis (pixels above the JJA 90th percentile) shows that 64% of the study area experiences at least one hotspot event and that 1.1% is persistently affected (frequency > 0.5). ERA5-Land tracked the pooled seasonal cycle (r = 0.92), with Landsat systematically warmer (bias, ERA5 − Landsat, −4.3 K) by an amount scaling with surface imperviousness, but did not resolve the intra-urban structure (within-summer r = 0.26), as expected for a 0.1° reanalysis; the ECOSTRESS comparison was consistent with the 30 m field (bias, ECOSTRESS − Landsat, +0.37 K; RMSE 4.4 K; r = 0.92).
Conclusions: This 30 m SUHI-by-LCZ climatology, with exposure indicators for more than 106,000 buildings across 13 municipalities at Landsat's ~100 m effective thermal resolution, provides a reproducible baseline for urban climate adaptation planning in Mediterranean coastal cities.

Keywords
land surface temperature; urban heat island; Local Climate Zone; Landsat; ECOSTRESS; SUHI; thermal exposure; climate adaptation.
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