In recent years, large-sized seaweed, such as ulva lactuca, blooms frequently in coastal water in China, which threatens
marine eco-environment. In order to take effective measures, it is important to make operational surveillance. A case of
large-sized seaweed blooming (i.e. enteromorpha), occurred in June, 2008, in the sea near Qingdao city, is studied.
Seaweed blooming is dynamically monitored using Moderate Resolution Imaging Spectroradiometer (MODIS). After
analyzing imaging spectral characteristics of enteromorpha, MODIS band 1 and 2 are used to create a band ratio
algorithm for detecting and mapping large-sized seaweed blooming. In addition, chlorophyll-α concentration is inversed
based on an empirical model developed using MODIS.
Chlorophyll-α concentration maps are derived using
multitemporal MODIS data, and chlorophyll-α concentration change is analyzed. Results show that the presented
methods are useful to get the dynamic distribution and the growth of large-sized seaweed, and can support contingency