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Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data

Abstract:

Background. Remotely-sensed environmental data from earth-orbiting satellites are increasingly used to model the distribution and abundance of both plant and animal species, especially those of economic or conservation importance. Time series of data from the MODerate-resolution Imaging Spectroradiometer (MODIS) sensors on-board NASA’s Terra and Aqua satellites offer the potential to capture environmental thermal and vegetation seasonality, through temporal Fourier analysis, more accurately t...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pone.0001408

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Institution:
University of Oxford
Research group:
Spatial Ecology and Epidemiology
Department:
Mathematical,Physical & Life Sciences Division - Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Spatial Ecology and Epidemiology
Department:
Mathematical,Physical & Life Sciences Division - Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Spatial Ecology and Epidemiology
Department:
Malaria Public Health and Epidemiology Group,Centre for Geographic Medicine,Kenya Medical Research Institute (KEMRI)
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Spatial Ecology and Epidemiology
Department:
Mathematical,Physical & Life Sciences Division - Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Spatial Ecology and Epidemiology
Department:
Malaria Public Health and Epidemiology Group,Centre for Geographic Medicine,Kenya Medical Research Institute (KEMRI)
Role:
Author
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Funding agency for:
Jörn P. W. Scharlemann
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Funding agency for:
David Benz
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Funding agency for:
Simon I. Hay
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Funding agency for:
Bethan V. Purse
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Publisher:
Public Library of Science Publisher's website
Journal:
PLoS ONE Journal website
Volume:
3
Issue:
1
Pages:
Article: e1408
Publication date:
2008-01-05
DOI:
EISSN:
1932-6203
URN:
uuid:4e725ce4-6cfb-40fa-85f1-ba18328be56b
Local pid:
ora:2821

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