Abstract
In order to reduce climate-related health issues in Sub-Saharan cities, a better understanding of the spatial and temporal processes affecting urban climates is required. In this context, this paper mobilizes the potential of urban climate modelling and remote sensing to improve the understanding of urban health risk variations in Sub-Saharan Africa. The combination of Stewart and Oke's (2012) universal classification of Local Climate Zones with very high resolution satellite imagery is explored for the parameterization of a simple urban canopy model (TERRA_URB) over two cities: Kampala (Uganda) and Dakar (Senegal). Key challenges, such as data scarcity and performing analyses on multi spatio-temporal scales are emphasized. Applications for a better understanding of links between urban climates and intra-urban health issues in highly dynamic urban environments are illustrated and discussed taking intra-urban malaria risk as an example.
| Original language | English |
|---|---|
| Pages (from-to) | 227-242 |
| Number of pages | 16 |
| Journal | Urban Climate |
| Volume | 27 |
| DOIs | |
| Publication status | Published - 1 Mar 2019 |
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Using Local Climate Zones in Sub-Saharan Africa to tackle urban health issues. / Brousse, Oscar; Georganos, Stefanos; Demuzere, Matthias; Vanhuysse, Sabine; Wouters, Hendrik; Wolff, Eléonore; Linard, Catherine; van Lipzig, Nicole P.M.; Dujardin, Sébastien.
In: Urban Climate, Vol. 27, 01.03.2019, p. 227-242.Research output: Contribution to journal › Article
TY - JOUR
T1 - Using Local Climate Zones in Sub-Saharan Africa to tackle urban health issues
AU - Brousse, Oscar
AU - Georganos, Stefanos
AU - Demuzere, Matthias
AU - Vanhuysse, Sabine
AU - Wouters, Hendrik
AU - Wolff, Eléonore
AU - Linard, Catherine
AU - van Lipzig, Nicole P.M.
AU - Dujardin, Sébastien
PY - 2019/3/1
Y1 - 2019/3/1
N2 - In order to reduce climate-related health issues in Sub-Saharan cities, a better understanding of the spatial and temporal processes affecting urban climates is required. In this context, this paper mobilizes the potential of urban climate modelling and remote sensing to improve the understanding of urban health risk variations in Sub-Saharan Africa. The combination of Stewart and Oke's (2012) universal classification of Local Climate Zones with very high resolution satellite imagery is explored for the parameterization of a simple urban canopy model (TERRA_URB) over two cities: Kampala (Uganda) and Dakar (Senegal). Key challenges, such as data scarcity and performing analyses on multi spatio-temporal scales are emphasized. Applications for a better understanding of links between urban climates and intra-urban health issues in highly dynamic urban environments are illustrated and discussed taking intra-urban malaria risk as an example.
AB - In order to reduce climate-related health issues in Sub-Saharan cities, a better understanding of the spatial and temporal processes affecting urban climates is required. In this context, this paper mobilizes the potential of urban climate modelling and remote sensing to improve the understanding of urban health risk variations in Sub-Saharan Africa. The combination of Stewart and Oke's (2012) universal classification of Local Climate Zones with very high resolution satellite imagery is explored for the parameterization of a simple urban canopy model (TERRA_URB) over two cities: Kampala (Uganda) and Dakar (Senegal). Key challenges, such as data scarcity and performing analyses on multi spatio-temporal scales are emphasized. Applications for a better understanding of links between urban climates and intra-urban health issues in highly dynamic urban environments are illustrated and discussed taking intra-urban malaria risk as an example.
UR - http://www.scopus.com/inward/record.url?scp=85058947176&partnerID=8YFLogxK
U2 - 10.1016/j.uclim.2018.12.004
DO - 10.1016/j.uclim.2018.12.004
M3 - Article
VL - 27
SP - 227
EP - 242
JO - Urban Climate
JF - Urban Climate
SN - 2212-0955
ER -