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January 8, 2008PLoS ONE293 citationsOpen Access

Global Data for Ecology and Epidemiology: A Novel Algorithm for Temporal Fourier Processing MODIS Data

JSJörn P. W. ScharlemannDBDavid BenzSHSimon I Hay

Key Points

  • To introduce a novel temporal Fourier processing algorithm for global 1 km MODIS satellite data to support ecological and epidemiological modeling.
  • Applied temporal Fourier processing algorithms to 1 km Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data across the globe.
  • Processed multi-temporal environmental variables including Middle Infrared Reflectance, day- and night-time Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI), and Enhanced Vegetation Index (EVI).
  • Produced global, multi-temporal Fourier-processed environmental datasets with enhanced spatial, temporal, geolocational, and spectral accuracy relative to legacy imagery.
  • Established higher-confidence baseline environmental layers suitable for advanced species' distribution modeling and disease vector surveillance.

Abstract

Global temporal Fourier processed images of 1 km MODIS data for Middle Infrared Reflectance, day- and night-time Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI), and Enhanced Vegetation Index (EVI) are presented for ecological and epidemiological applications. The finer spatial and temporal resolution, combined with the greater geolocational and spectral accuracy of the MODIS instruments, compared with previous multi-temporal data sets, mean that these data may be used with greater confidence in species' distribution modelling.

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Cite This Study

Scharlemann et al. (2008) studied this question.

synapsesocial.com/papers/69d9086bf544bba627bee16fhttps://doi.org/10.1371/journal.pone.0001408
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