How 2D/3D urban form shapes land surface temperature: a comparative analysis across four South Asian cities

Urban expansion has exacerbated the urban heat island (UHI) effect, endangering public health and urban ecosystems. While urban spatial morphology (USM) has a substantial influence on land surface temperature (LST), the varying effects across Global South cities remain poorly understood. This study investigates 2D/3D USM–LST relationships in the urban core areas of four South Asian cities using SDGSAT-1 high-resolution LST data and eleven USM metrics. Stepwise multiple linear regression is applied alongside XGBoost-SHAP interpretation to provide linear baseline comparisons and enhance interpretability. The building density (BD; Pearson's r = 0.60–0.71) and building volume (BV; r = 0.22–0.68) are significantly related to elevated LST, while vegetation volume (VV; r = −0.38 to −0.15) provides substantial cooling in all urban cores. Building volume has emerged as the dominant driver of increased LST in Karachi, Faisalabad, and Gujranwala, whereas building height is the primary factor in Lahore. For cooling effects, the pervious surface fraction is the key factor in all cities except Gujranwala, where the vegetation structure (volume and height) prevails. Furthermore, the relationship between the average building height and LST showed an inflection-like pattern in Karachi. These findings provide actionable insights for promoting heat-resilient urban planning through targeted morphological interventions.

Authors

Institutions

Publication Details

Journal
GIScience & Remote Sensing
Published
2026-03-08
DOI
https://doi.org/10.1080/15481603.2026.2640263
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How 2D/3D urban form shapes land surface temperature: a comparative analysis across four South Asian cities

F Chen, Muhammad Fahad Baqa, Hao Guo, Qingting Li et al.
GIScience & Remote Sensing
Urban Heat Island Mitigation
article

How 2D/3D urban form shapes land surface temperature: a comparative analysis across four South Asian cities

F Chen, Muhammad Fahad Baqa, Hao Guo, Qingting Li, Zahid Ur Rahman, Shisong Cao, Siqin Wang, Linlin Lu
article en

Abstract

Urban expansion has exacerbated the urban heat island (UHI) effect, endangering public health and urban ecosystems. While urban spatial morphology (USM) has a substantial influence on land surface temperature (LST), the varying effects across Global South cities remain poorly understood. This study investigates 2D/3D USM–LST relationships in the urban core areas of four South Asian cities using SDGSAT-1 high-resolution LST data and eleven USM metrics. Stepwise multiple linear regression is applied alongside XGBoost-SHAP interpretation to provide linear baseline comparisons and enhance interpretability. The building density (BD; Pearson's r = 0.60–0.71) and building volume (BV; r = 0.22–0.68) are significantly related to elevated LST, while vegetation volume (VV; r = −0.38 to −0.15) provides substantial cooling in all urban cores. Building volume has emerged as the dominant driver of increased LST in Karachi, Faisalabad, and Gujranwala, whereas building height is the primary factor in Lahore. For cooling effects, the pervious surface fraction is the key factor in all cities except Gujranwala, where the vegetation structure (volume and height) prevails. Furthermore, the relationship between the average building height and LST showed an inflection-like pattern in Karachi. These findings provide actionable insights for promoting heat-resilient urban planning through targeted morphological interventions.

GIScience & Remote SensingVol. 63(1)
University of Southern California (US), Chinese Academy of Sciences (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN), Beijing University of Civil Engineering and Architecture (CN)
Sustainable cities and communities
Openalex Percentile: Top 39%
Urban Heat Island Mitigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.