Remote sensing information extraction of sargassum from the in-shore shallow sea in Daya Bay
Sargassum plays an important role in healthy coastal ecosystems. Remote sensing monitoring mostly studies of floating sargassum in the open sea,and less research on shallow seabed sargassum;technical methods are mostly based on empirical models and rely on a large amount of measured data. This paper establishes a sargassum remote sensing information extraction model based on the radiation transfer process of water bodies. The results of three experimental areas in Daya Bay show that:①The sargassum abundance distribution is essentially consistent with the field survey data. ②Sargassum in Daya Bay grows better and has a higher abundance when the water is highly open,the water exchange conditions are good,the water is affected by wind and waves,the bottom is sand-covered rocks or reefs,and the water depth is less than 1. 6 m.③Water depth and waves are important environmental factors that affect the growth and distribution of sargassum. The method in this paper has positive significance for the protection of sargassum resources and the construction of coastal biodiversity.
万方数据
维普
