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.

Keywords

Remote sensingModerate-resolution imaging spectroradiometerNormalized Difference Vegetation IndexSpectroradiometerAdvanced very-high-resolution radiometerEnhanced vegetation indexTemporal resolutionEnvironmental scienceSeasonalityRadiometerVegetation (pathology)Time seriesAlgorithmComputer scienceMeteorologySatelliteGeographyClimate changeEcology

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Publication Info

Year
2008
Type
article
Volume
3
Issue
1
Pages
e1408-e1408
Citations
276
Access
Closed

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Jörn P. W. Scharlemann, David Benz, Simon I Hay et al. (2008). Global Data for Ecology and Epidemiology: A Novel Algorithm for Temporal Fourier Processing MODIS Data. PLoS ONE , 3 (1) , e1408-e1408. https://doi.org/10.1371/journal.pone.0001408

Identifiers

DOI
10.1371/journal.pone.0001408