Vegetation phenology reveals the response of vegetation to global climate change. The time series of remote sensing data
have been applied to generate land surface pheology and vegetation seasonality information. In this study, land surface
phenology was detected from time series of radar backscatter data from 2003 to 2007 and compared with phenological
metrics derived from SPOT VEGETATION NDVI and MODIS land cover dynamic product across Australia. An
asymmetric Gaussian method was used to extract phenological metrics, the start of season (SOS) and the end of season
(EOS) from the time series. Comparing the spatial pattern of average SOS and EOS from the three datasets, similar
spatial pattern are mapped across western and southeastern Australia. However, different phenological patterns are
captured in the tropical ecosystems of northern and eastern Australia. These results showed the potential of microwave
data in monitoring vegetation dynamics as complementary phenological information.
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