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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bradley, A. Gerard, F. Weedon, G. Huntingford, C. Barbier, N. Zelazowski, P. Anderson, L. de Aragao, L. |
| Copyright Year | 2008 |
| Description | Author affiliation: Centre for Ecology & Hydrol., Huntingdon (Bradley, A.) || Centre for Ecology & Hydrol., Wallingford (Gerard, F.; Weedon, G.; Huntingford, C.) || Environ. Change Inst., Oxford Univ. Centre for the Environ., Oxford (Barbier, N.; Zelazowski, P.; Anderson, L.; de Aragao, L.) |
| Abstract | We explore the relative influence of biophysical drivers on phenology to assist validation and parameterization of Dynamic Global Vegetation Models. Using 6.8 years of MODIS data we created a vegetation index time series to map the spatial variability of vegetation phenology in the Amazon. TRMM and CERES data were used as a measure of two biophysical variables, precipitation and net radiation respectively. Using a Fourier transform and cross spectral analysis two aspects were considered from these data, the coincidence of: (A) spatial patterns, presence and strength in the annual cycle, and (B) the coherency and phase differences between the phenology and the biophysical variables. Using the Amazon as a study area we find that the coincidence between phenology and the drivers in annual power strength was not linear and in an area of high coherency we found radiation and phenology was almost in phase, whilst precipitation was not. The correspondence of slightly subdued annual phenology with strong annual radiation indicated that other drivers also influence the strength of the phenology. |
| File Size | 253058 |
| File Format | |
| ISBN | 9781424428076 |
| DOI | 10.1109/IGARSS.2008.4778946 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vegetation mapping Atmospheric modeling Fourier transforms Spectral analysis Satellites Predictive models Remote monitoring Environmental factors Hydrology MODIS modeling Satellite applications Fourier transform spectral analysis |
| Content Type | Text |
| Resource Type | Article |
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