Abstract：On the basis of in situ measurement data in the Dayang River Estuary and HJ-1 satellite CCD imagery, the nutrients retrieval algorithms were studied. The nitrite (NO2--N) concentration had the best correlation with the remote sensing reflectance (Rrs) in Band 2 (520~600nm), following a natural logarithmic function (R2=0.939). The ammonia (NH4+-N) concentration was best correlated with Rrs in Band 2 as well, following a linear function (R2=0.935). Besides, the nitrate (NO3--N) and total inorganic nitrogen (TIN) were best correlated with Rrs in Band 1 (430~520nm), likewise following linear functions (R2=0.945 and 0.970 respectively). However, good relationship between the phosphate (PO43--P) and Rrs in any band was not found. Theoretically, nutrients were not optically sensitive substance in the visible light band, thus these empirical relationships between nutrients and equivalent remote sensing reflectance were largely due to the typical diffusion characteristics of river input materials, which indirectly led to high correlativity between nutrients and some optical coefficients, like the absorption of yellow substance (ag(400)). The indirect correlation proposes the potential feasibility of nutrients retrieval in the estuary waters through satellite remote-sensed imagery. Applying the retrieval algorithm to the HJ-1 satellite data, a euphotic zone with extremely high concentration of nutrients was detected in the Dayang River Estuary, and various nutrients gradually declined from the estuary to open seas.
王林, 赵冬至, 杨建洪. 基于环境一号卫星的大洋河河口海域营养盐遥感反演[J]. 中国环境科学, 2012, 32(1): 136-141.
WANG Lin, ZHAO Dong-Zhi, YANG Jian-Hong. Nutrients retrieval in the Dayang River Estuary based on HJ-1 satellite remote-sensed imagery. CHINA ENVIRONMENTAL SCIENCECE, 2012, 32(1): 136-141.
