Special Issue "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)
Dr. Jamal Jokar Arsanjani
Geographic Information Science, Department of Planning and Development, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark
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Interests: volunteered geographic information (VGI); big (geo) data; crowdsourced mapping; citizen science; geocomputation; digital earth; remote sensing and spatio-temporal monitoring of environment; data fusion; (geo)data quality
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- 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