LST-R: A method for assessing land surface temperature reduction in urban, hot and semi-arid Global South.

ABSTRACT: Over the next 30 years, temperatures are expected to increase in hot semi-arid zones. Despite increasing studies on urban heat, cooling measures suitable for this climate zone remain poorly investigated. The proposed method is innovative because it focuses on significant landscape metrics for determining the land surface temperature (LST) and evaluating cooling measures. Recurrence of warm spells was identified analysing the daily air temperatures. Daytime and night-time LST data acquired from space were correlated with landscape metrics extracted from very high-resolution satellite imagery. Stepwise linear regression was used to identify the significant metrics that affected it. Cooling measures were selected considering implementation leeway; performance of existing measures; strengths,

SUBMITTER: Tiepolo M 

PROVIDER: S-EPMC9808022 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature