Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems
Submitted: 23 December 2014
Accepted: 23 December 2014
Published: 1 November 2007
Accepted: 23 December 2014
Abstract Views: 1437
PDF: 758
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Emergency Centre for the Control of Transboundary Animal Diseases (ECTAD), FAO, Beijing, China.
Animal Health Service, Infectious Disease Group of FAO, Rome, Italy.
Animal Health Service, Infectious Disease Group of FAO, Rome, Italy.
International Research Institute for Climate and Society, the Earth Institute, Columbia University, Palisades, New York, United States.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Montpellier, France.
How to Cite
Martin, V., De Simone, L., Lubroth, J., Ceccato, P., & Chevalier, V. (2007). Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems. Geospatial Health, 2(1), 3–14. https://doi.org/10.4081/gh.2007.250
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