The importance of spatial configuration of neighbouring land cover for explanation of surface temperature of individual patches in urban landscapes

Date published

2021-07-15

Free to read from

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Department

Type

Article

ISSN

0921-2973

Format

Citation

Zawadzka JE, Harris JA, Corstanje R. (2021) The importance of spatial configuration of neighbouring land cover for explanation of surface temperature of individual patches in urban landscapes. Landscape Ecology, Volume 36, Issue 11, November 2021, pp. 3117–3136

Abstract

Context Relationships between spatial configuration of urban form and land surface temperature (LST) in the excess heat mitigation context are studied over larger tracts of land not allowing for micro-scale recommendations to urban design.

Objectives To identify spatial configuration descriptors (SCDs) of urban form and the size of zone of influence conducive to the formation of the coldest and hottest land cover (LC) patches of different types (buildings, grass, paved and trees) from 2 m resolution LC and 2 and 100 m resolution LST maps at two time-steps in the summer.

Methods Random Forest regression models were deployed to explain the LST of individual LC patches of different types based on SCDs of core LC patches and patches in their neighbourhoods. ANOVA was used to determine significantly different values of the most important SCDs associated with the coldest and hottest LC patches, and analysis of quartiles informed specification of their ranges.

Results Urban form in the immediate neighbourhood to the core LC patches had a strong influence on their LST. Low elevation, high proximity to water, and high aggregation of trees, being important to the formation of the coldest patches of all types. High resolution of LST contributed to a higher accuracy of results. Elevation and proximity to water gained in importance as summer progressed.

Conclusions Spatial configuration of urban form in the nearest proximity to individual LC patches and the use of fine resolution LST data are essential for issuing heat mitigation recommendations to urban planners relevant to micro-scales.

Description

Software Description

Software Language

Github

Keywords

Landscape metrics, Heat mitigation, Micro-scales, Random forests, Spatial configuration of urban form, Land surface temperature

DOI

Rights

Attribution 4.0 International

Relationships

Relationships

Supplements

Funder/s