Exploring the Role of Population Dynamics in Surface Urban Heat Island Hotspots in Peri-Urban Dhaka

This study investigates the hotspots of surface urban heat island (SUHI) in the peri-urban areas of Dhaka based on the nexus of population dynamics, urban expansion, and land surface temperature. The respective land use land cover (LULC) classification and land surface temperature (LST) estimation were derived for 2000 and 2022 using images from Landsat-5 and Landsat-8, respectively, by applying established equations. Urban growth and its relation to LST were estimated using the classification based on the random forest and normalised difference built-up index (NDBI). The latter are directly associated with economic activities. The results indicated increased LST over time with urban sprawl and population increase, and hotspots were typical in high male-dominated migration rates and highly dense industrial activity. This study gives insight into the sustainable approach to urban planning and managing populations through clarity on the prevailing relationships among population growth and urbanisation with changing temperature.

Authors

Institutions

Publication Details

Journal
Forum Geografi
Published
2025-03-08
DOI
https://doi.org/10.23917/forgeo.v39i1.6648
Citations
3
Primary Topic
COVID-19 impact on air quality
Type
article
Field-Weighted Citation Impact
3.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Role of Population Dynamics in Surface Urban Heat Island Hotspots in Peri-Urban Dhaka

Md. Fuad Hassan, Riffat Mahmood
3 citations
Forum Geografi
COVID-19 impact on air quality
3.32
article

Exploring the Role of Population Dynamics in Surface Urban Heat Island Hotspots in Peri-Urban Dhaka

Md. Fuad Hassan, Riffat Mahmood
article en
3 citations

Abstract

This study investigates the hotspots of surface urban heat island (SUHI) in the peri-urban areas of Dhaka based on the nexus of population dynamics, urban expansion, and land surface temperature. The respective land use land cover (LULC) classification and land surface temperature (LST) estimation were derived for 2000 and 2022 using images from Landsat-5 and Landsat-8, respectively, by applying established equations. Urban growth and its relation to LST were estimated using the classification based on the random forest and normalised difference built-up index (NDBI). The latter are directly associated with economic activities. The results indicated increased LST over time with urban sprawl and population increase, and hotspots were typical in high male-dominated migration rates and highly dense industrial activity. This study gives insight into the sustainable approach to urban planning and managing populations through clarity on the prevailing relationships among population growth and urbanisation with changing temperature.

Forum GeografiVol. 39(1)
Jagannath University (BD)
Openalex Percentile: Top 10%
COVID-19 impact on air quality
3.32
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.