Ontology highlight
ABSTRACT: Background
Short-term impacts of high temperatures on the elderly are well known. Even though Italy has the highest proportion of elderly citizens in Europe, there is a lack of information on spatial heat-related elderly risks.Objectives
Development of high-resolution, heat-related urban risk maps regarding the elderly population (≥ 65).Methods
A long time-series (2001-2013) of remote sensing MODIS data, averaged over the summer period for eleven major Italian cities, were downscaled to obtain high spatial resolution (100 m) daytime and night-time land surface temperatures (LST). LST was estimated pixel-wise by applying two statistical model approaches: 1) the Linear Regression Model (LRM); 2) the Generalized Additive Model (GAM). Total and elderly population densit
SUBMITTER: Morabito M
PROVIDER: S-EPMC4436225 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature