Special Issue "Remote Sensing in Public Health"

Quicklinks

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (30 June 2011)

Special Issue Editors

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

Special Issue Information

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

Keywords

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

Published Papers (3 papers)

Download All Papers
Sort by:
Display options:
Select articles Export citation of selected articles as:
Select/unselect all
Displaying article 1-3
p. 2364-2383
by ,  and
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
Show/Hide Abstract | Cited by 9 | PDF Full-text (4849 KB)
(This article belongs to the Special Issue Remote Sensing in Public Health)
abstract graphic
p. 2321-2345
by , ,  and
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
Show/Hide Abstract | Cited by 2 | PDF Full-text (512 KB) | Supplementary Files
(This article belongs to the Special Issue Remote Sensing in Public Health)
p. 1805-1816
by
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
Show/Hide Abstract | Cited by 3 | PDF Full-text (407 KB)
(This article belongs to the Special Issue Remote Sensing in Public Health)
Select/unselect all
Displaying article 1-3
Select articles Export citation of selected articles as:

Last update: 4 March 2014

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert