Special Issue "Remote Sensing in Public Health"

Guest Editor
Dr. Patrick Kinney
Department of Environmental Health Sciences Mailman School of Public Health, Columbia University, 60 Haven Ave., B-1 New York, NY 10032, USA
E-Mail: plk3@columbia.edu
Interests: intersection of global environmental change; human health; and policy; with an emphasis on the public health impacts of climate change and air pollution

Guest Editor
Dr. Pietro Ceccato
International Research Institute for Climate and Society, The Earth Institute, Columbia University, Lamont Campus 61, Route 9W, Palisades, NY 10964, USA
E-Mail: pceccato@iri.columbia.edu
Interests: Create new methods to monitor Earth observation parameters from remotely sensed data with emphasis on vegetation, temperature, precipitation, surface moisture, and fire activity; Integrate climate and environmental monitoring information into applications for Human Health, Agriculture, Food Security, Natural Disaster and Pest Management

Dear Colleagues,

Good health is one of the primary aspirations of human social development. As a consequence, health indicators are key components of the human development indices by which we measure progress toward sustainable development. Certain diseases and causes of ill health are associated with particular environmental and climate conditions. Changes in the natural environment and climate can thus compromise human and animal health. Droughts may lead to malnutrition, dust storms and smog can cause respiratory illnesses, and algal blooms contaminate seafood. Emerging and re-emerging infectious diseases can spread whenever ecosystems change.

Spatial information derived from remotely-sensed data or models is playing an increasingly important role in understanding the relationship between health and environmental factors, in addition to locating and forecasting disease outbreaks. Remote Sensing and associated spatial modeling techniques hold particular potential for efficient monitoring and forecasting of human and animal diseases; developing policies and implementing interventions aimed at better controlling these diseases.

This special issue of Remote Sensing solicits papers that present innovative Remote Sensing applications and related spatial modeling techniques to support monitoring and forecasting human and animal health in order to support efforts to better manage those factors that risk to compromise it.

Dr. Pietro Ceccato
Dr. Patrick Kinney
Guest Editors

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly 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 800 CHF (Swiss Francs).

• remote sensing
• earth observation
• human and animal health
• aeroallergens
• air quality
• infectious diseases
• emerging and re-emerging diseases
• early warning systems