title: Sizing up human health through remote sensing: uses and misuses.
abstract: Following the launch of new satellites, remote sensing (RS) has been increasingly implicated in human health research for thirty years, providing a growing availability of images with higher resolution and spectral ranges. However, the scope of applications, beyond theoretical large potentialities, appears limited both by their technical nature and the models developed. An exhaustive review of RS applications in human health highlights the real implication thus far regarding the diversity and range of health issues, remotely sensed data, processes and interpretations. The place of RS is far under its expected potential, revealing fundamental barriers in its implementation for health applications. The selection of images is done by practical considerations as trivial as price and availability, which are often not relevant to addressing health questions requiring suitable resolutions and spatio-temporal range. The relationships of environmental variables from RS, geospatial data from other sources for health investigations are poorly addressed and usually simplified. A discussion covering the potential of RS for human health is developed here to assist health scientists deal with spatial and temporal dynamics of health, by finding the most relevant data and analysis procedures.
authors.affiliation: Institut de Recherche pour le Développement, Research Unit 034, RCEVD/CVD, Mahidol University, Nakhon Pathom, Thailand. vincent.herbreteau@ird.fr
authors.forename: V
authors.initials: V
authors.lastname: Herbreteau
authors.forename: G
authors.initials: G
authors.lastname: Salem
authors.forename: M
authors.initials: M
authors.lastname: Souris
authors.forename: J P
authors.initials: JP
authors.lastname: Hugot
authors.forename: J P
authors.initials: JP
authors.lastname: Gonzalez
mesh_terms: D000818:Animals; D015706:Bibliometrics; D002980:Climate; D003141:Communicable Diseases / Q000453:epidemiology; D004199:Disease Vectors; D040362:Geographic Information Systems; D006306:Health Surveys; D006801:Humans; D007091:Image Processing, Computer-Assisted; D010781:Photography / Q000379:methods; D010944:Plants; D039781:PubMed / Q000706:statistics & numerical data; D011827:Radiation; D017215:Satellite Communications / Q000295:instrumentation; D012987:Soil; D019371:Topography, Medical / Q000295:instrumentation / Q000379:methods
chemical_list: D012987:Soil