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Erosion of Natural Cooling Infrastructure in Southeast Asian Cities: Comparative Land Surface Temperature Effects of Wetland and Paddy Loss in Phnom Penh and Can Tho

Erosion of Natural Cooling Infrastructure in Southeast Asian Cities: Comparative Land Surface Temperature Effects of Wetland and Paddy Loss in Phnom Penh and Can Tho

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Authors

Lik Ren Tai 

Abstract

Rapid urbanisation across Southeast Asia is displacing two natural cooling resources: urban water bodies and peri-urban paddy fields. The biophysical relationship between land cover and land surface temperature (LST) is established at regional and continental scales, but conversion-attributable, satellite-derived quantification of wetland and paddy loss at city scale, compared directly within a single study design, has not previously been undertaken. This study compares urban wetland loss in Phnom Penh, Cambodia, and paddy conversion in Can Tho, Vietnam, across six anchor epochs (2000–2024), using Landsat-derived land-cover classification and a difference-in-differences design to isolate conversion-attributable LST anomalies from background warming. In Phnom Penh, water-body loss produced a DiD-corrected anomaly of 7.13°C, concentrated in a small number of large, documented infilling events. In Can Tho, paddy loss produced a smaller anomaly of 0.55°C, diffused across thousands of small, independent conversions. The comparative synthesis does not resolve to a single answer: measured as per-unit-area intensity, Phnom Penh's loss is roughly seven times more severe; measured as total city-wide impact, Can Tho's larger converted extent gives greater aggregate impact instead. This asymmetry reflects a structural contrast in how the two cities lose cooling infrastructure, Phnom Penh through concentrated, large-scale events and Can Tho through diffuse, many small conversions, with direct implications for mitigation design in each context. The findings show that the thermal cost of cooling-infrastructure loss cannot be captured by a single metric: it depends on which resource is lost, how much, and whether severity or scale is the question being asked.

DOI

https://doi.org/10.31223/X5KN3C

Subjects

Climate, Environmental Monitoring

Keywords

Dates

Published: 2026-07-15 19:21

Last Updated: 2026-07-20 18:14

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability:
This study's derived geospatial datasets, tabular outputs, and analysis code are openly available on Zenodo at https://doi.org/10.5281/zenodo.21342720 under a Creative Commons Attribution 4.0 International licence. Raw input datasets are publicly available from their respective providers: the Landsat Collection 2 Level-2 archive (https://earthexplorer.usgs.gov/); the Landsat WRS-2 Path/Row grid (https://www.usgs.gov/landsat-missions/landsat-shapefiles-and-kml-files); the JRC Global Surface Water and Shuttle Radar Topography Mission datasets, both accessed via Google Earth Engine (https://earthengine.google.com/); the GlobalRice500 dataset (https://doi.org/10.5281/zenodo.17460919); the Global Human Settlement Layer GHS-BUILT-S and GHS-SMOD products (https://ghsl.jrc.ec.europa.eu/); the Cambodia Common Operational Dataset – Administrative Boundaries (https://data.humdata.org/dataset/cod-ab-khm); the Database of Global Administrative Areas, version 4.1 (https://gadm.org/); the Natural Earth Admin 0 – Countries dataset (https://www.naturalearthdata.com/downloads/50m-cultural-vectors/); and OpenStreetMap water body geometry (https://www.openstreetmap.org/).

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