Special Issue "Remote Sensing in Public Health"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 June 2011)
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
Interests: intersection of global environmental change; human health; and policy; with an emphasis on the public health impacts of climate change and air pollution
Dr. Pietro Ceccato
International Research Institute for Climate and Society, The Earth Institute, Columbia University, Lamont Campus 61, Route 9W, Palisades, NY 10964, USA
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
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
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.
- remote sensing
- earth observation
- human and animal health
- air quality
- infectious diseases
- emerging and re-emerging diseases
- early warning systems
Article: Downscaling Pesticide Use Data to the Crop Field Level in California Using Landsat Satellite Imagery: Paraquat Case Study
Remote Sens. 2011, 3(9), 1805-1816; doi:10.3390/rs3091805
Received: 8 July 2011; in revised form: 16 August 2011 / Accepted: 18 August 2011 / Published: 25 August 2011| Download PDF Full-text (407 KB)
Review: Terrestrial Remotely Sensed Imagery in Support of Public Health: New Avenues of Research Using Object-Based Image Analysis
Remote Sens. 2011, 3(11), 2321-2345; doi:10.3390/rs3112321
Received: 15 August 2011; in revised form: 7 October 2011 / Accepted: 20 October 2011 / Published: 27 October 2011| Download PDF Full-text (512 KB) | Supplementary Files
Article: Fusion of High Resolution Aerial Multispectral and LiDAR Data: Land Cover in the Context of Urban Mosquito Habitat
Remote Sens. 2011, 3(11), 2364-2383; doi:10.3390/rs3112364
Received: 29 August 2011; in revised form: 12 October 2011 / Accepted: 19 October 2011 / Published: 7 November 2011| Download PDF Full-text (4849 KB)
Last update: 7 January 2011