Examining human heat stress with remote sensing technology. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Song, Yang; Wu, Changshan
• Is Part Of: GIScience & remote sensing. Volume 55:Issue 1(2018)
• Page Start: 19
• Page End: 37
• Publication Date: 2018-01-02
• Subjects: discomfort index -- MODIS -- human heat stress -- remote sensing; Geodesy -- Periodicals; Cartography -- Periodicals; Aerial photogrammetry -- Periodicals; Remote sensing -- Periodicals; 526.05
• DOI: 10.1080/15481603.2017.1354804
• Languages: English
• ISSNs: 1548-1603

Abstract

Abstract : Heat stress as an environmental hazard which can seriously affect productivity, health, or even survival of individuals has long been studied. Despite the endeavors that have been made to address the issue quantitatively with various heat stress indices, they are often measured at scatter sites. This research devotes to revealing human heat stress within continuous space with remote sensing technology. The study began with the retrieval of dry-bulb temperature from land surface temperature (LST) with empirical models. As wet-bulb temperature was calculated from dry-bulb temperature and relative humidity, discomfort index (DI) as an indicator of heat stress was revealed for the study area at 1 km spatial resolution for three summer days. Results indicated that DI can be derived within continuous space with remotely sensed data, and its spatial distribution can be dramatically affected by relative humidity. Further comparison between DI and LST indicated that LST as a widely utilized indicator of surface thermal condition fails to address human heat stress as environmental factors such as relative humidity are not taken into account.