Li Chen Juan

Ms. Li Chen Juan


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10 October 2026 in Remote Sensing
Verified
Journal Article
Open access
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BJBo Jiang
Bo Jiang
HYHanfei Yang
Hanfei Yang
BHBensheng Huang
Bensheng Huang
LJLi Chen Juan
Li Chen Juan
Coastal waters exhibit pronounced spatial and temporal variability in optical properties and water quality, which cannot be fully characterized by observations from discrete monitoring stations. Satellite Optical Water Type (OWT) classification provides spatially continuous information on optical conditions. However, comparisons with water quality observations have generally relied on the assigned OWT, and it remains unclear whether membership provides additional information within the same class. This study examined the relationships of assigned OWTs and membership with monthly water quality conditions in Guangdong coastal waters. Sentinel-3 OLCI observations acquired from 2017 to 2024 were matched with station observations of dissolved inorganic nitrogen (DIN), dissolved inorganic phosphorus (DIP), chemical oxygen demand (COD), dissolved oxygen (DO), and eutrophication classes. The analysis first compared water quality among assigned OWTs and then evaluated the secondary OWT and membership values within OWT 4a, the class with the largest sample size. Assigned OWTs distinguished broad differences in DIN, DIP, COD, and eutrophication classes, whereas DO did not differ significantly among OWTs. Within OWT 4a, the class associated with the second highest membership separated records with different nutrient, COD, and eutrophication conditions. Continuous membership values provided further information, but their relationships with water quality depended on the secondary OWT and were most consistent for DIN. OWT occurrence and station eutrophication patterns showed partial spatial correspondence, particularly around the Pearl River Estuary and Huangmao Bay. These findings show that assigned OWTs identify broad water quality differences, while secondary OWTs and membership values distinguish additional variation within OWT 4a. The mapped optical patterns provide complementary spatial context for interpreting station-based water quality observations.