Paper
8 May 2003 Preliminary study of concentration of total particulate phosphorus in estuary by remote sensing technique
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Proceedings Volume 4892, Ocean Remote Sensing and Applications; (2003) https://doi.org/10.1117/12.466097
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
Scientists suggested that satellite remote sensing represent the most suitable technique for synoptic monitoring the change and extent of polluted water after late 80s. They try to establish the relationship of remote sensing parameters and oceanic components which are without optical activity. This technique permitted employ satellite-based data to estimate of regional and global phytoplankton primary production and provided a possible means for monitoring the spatial and seasonal variations of near-surface distribution of nutrient in water. Dugdale et al (1989) determined linkage between SST and nitrate in sea water of upwelling area: SST = F (NO3), consequently the concentration and distribution of nitrate can be retrieved from the SST image. Robinson (1989) suggested that CDOM have direct relationship with polluted component in water as dissolved organism, so CDOM can be used as tracer in the mixing process of estuary water. Pattiaratchi et al (1994) determined the concentration of chl-a and the relationship betweeh chl-a and nutrient, further retrieved the distribution of nutrient. Arnone at al (2000) succeeded in establishing salinity distribution image from SeaWiFS image through acquiring the relationship between CDOM and salinity. Chen Zhiqiang (2000) found out strong positive correlation between CDOM and nitrate and slilicate, succeeded in retreiving nutrient distribution inverse model in Zhujiang River Estuary from CDOM image.
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Xiao-yu Zhang, Di-feng Wang, Ren-you Tang, and De-lu Pan "Preliminary study of concentration of total particulate phosphorus in estuary by remote sensing technique", Proc. SPIE 4892, Ocean Remote Sensing and Applications, (8 May 2003); https://doi.org/10.1117/12.466097
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KEYWORDS
Phosphorus

Remote sensing

Reflectivity

Data modeling

Satellites

Water

Ocean optics

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