Satellite imagery provides a cost-effective way to retrieve the cyanbacteria bloom dynamics, which is useful to early
warning of the blooms. However, temporal variations in sun-target-satellite geometry and atmosphere may generate
inconsistencies in multi-temporal images. To explore to what extent temporal influences could affect the retrieved
results, we applied the single band and the band ratio approaches to retrieve cyanobacteria bloom in Lake Taihu of China.
We used the Moderate Resolution Imaging Spectroradiometer (MODIS) products in the cases with and without
correction for sun-target-satellite geometry and atmospheric effects for the whole year 2006. In addition, we made use of
MODIS data including aerosol optical thickness (AOT), solar zenith angle and sensor zenith angle, all of which are
indicators of the temporal influences. We then analyzed the relationships of retrieval differences with the three indicators
to evaluate the temporal influences quantitatively. Our results showed that both AOT and solar zenith angle had a
positive correlation with the retrieval of cyanobacteria bloom. Although it is yet under investigation if this relationship
could hold on for other cases, here we emphasized that for reliable monitoring the dynamics of bloom, it should be
careful to apply the approaches using satellite data without radiometric correction.
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