Remote Sensing of Heat-Related Health Risks

The Trend Toward Coupling Socioeconomic and Remotely Sensed Data

Dados Bibliográficos

ID5697124
AutoresDan Johnson (0009-0005-5853-9521), Dan L Johnson (0000-0001-6259-974X, Indiana University – Purdue University Indianapolis), Vijay Lulla (0000-0002-0823-2522, Indiana University – Purdue University Indianapolis), Austin Stanforth (Indiana University – Purdue University Indianapolis), Jeremy Webber (0000-0003-2825-382X), J Jeremy Webber (0000-0002-2512-2448, Indiana University – Purdue University Indianapolis)
Ano2011
Volume5
Fascículo10
Páginas767-780
Data de publicação2011-10-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoGeography Compass (JOURNAL)
Identificadores do periódicoISSN: 1749-8198 • E-ISSN: 1749-8198
EditoraWiley (PUBLISHER • GB)
DOI10.1111/j.1749-8198.2011.00442.x
OpenAlexW2145445609
IdiomaEN
Citações recebidas1
Referências citadas94

Heat‐related death is considered the number one weather‐related cause of mortality throughout the world. There is growing concern that, heat waves, the primary meteorological phenomena responsible, will become more intense and numerous in the near future. Provided with this growing hazard the responsibility for mitigation, early detection and warning rests with emergency response agencies as well as academic researchers. Numerous tools exist in the present time to model very complex relationships that truly define vulnerability to such impending disasters. However, compared to other disasters (i.e. flooding, hurricanes, tornadoes, earthquakes, etc.) heat‐related effects have not been thoroughly investigated in a geospatial framework. It seems likely that such approaches will provide significant benefit to the vulnerable communities and to policy makers responsible for planning. These approaches involve the usage of multiple sensor data (multi‐sensor data fusion) coupled with socioeconomic characteristics to truly capture the fabric of social vulnerability. Evidence is growing that these approaches are beginning to have an impact in forecasting and planning for heat‐related health disasters

Climate change · Computer security · Economic growth · Economics · Emergency management · Environmental health · Environmental planning · Environmental resource management · Geography · Geospatial analysis · Hazard · Heat wave · Meteorology · Population · Remote sensing · Socioeconomic status · Telecommunications · Tornado · Warning system · Air Quality and Health Impacts · Climate Change and Health Impacts · Computer Science · Environmental Science · Psychology · Urban Heat Island Mitigation