Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).
Deadline for manuscript submissions: closed (30 September 2016) | Viewed by 72429
Special Issue Editor
Interests: citizen observations; earth observation; geocomputation; GEO-artificial intelligence; data quality; environmental monitoring and assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Remote sensing, as well as the recent advancements of crowd sensing, along with novel and recent geospatial technologies, have great potential to explore and understand the relationships between our surroundings in particular our urban and rural environments and natural spaces with public health through environmental factors.
Phenomena including climate change, extreme weather conditions, dynamic and mega cities, air pollution, and dust storms, among others, have significant impacts on human and environmental health. On the one hand, the rising volume of Earth observatories and citizen observatories have provided research scholars with a tremendous amount of data streams in space and time, which are novel, unique, and even freely available so that new research agenda are to be defined to explore the power of these data. On the other hand, the recent geospatial technologies, such as novel geocomputational techniques, clustering algorithms, visual analytics, data/information mining approaches, Web 2.0, and collaborative sensing techniques, among others, have presented a wide variety of techniques for exploring these data and discovering latent information about public health.
In this Special Issue, we aim to present novel sensing and computational techniques for better understanding of public health, developing diverse public health applications, and explore their underlying implications towards securing healthier urban/rural environments and natural spaces.
This Special Issue calls for original papers on application of remote sensing, crowd sensing and geospatial technologies in the areas of:
- Air pollution and noise pollution monitoring, analysis, and modeling
- Big Data in Public Health studies
- Environmental Public Health Surveillance
- Climate change and its impacts on Health
- Urban epidemiology
- Environmental health factors
- Health Informatics
- Social media geographic information
Dr. Jamal Jokar Arsanjani
Guest Editor
Manuscript Submission Information
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Keywords
- Big data
- climate change and health
- Earth observations
- citizen observations
- remote sensing
- exposure to air pollution and noise
- geospatial technology
- health GIS
- landscape epidemiology
- public health
- public health tracking
- spatiotemporal epidemiology
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