[Using in-situ reflectance to monitor the chlorophyll concentration in the surface layer of tidal flat].

An optical monitoring method is proposed for the rapid, non destructive measurements of chlorophyll concentration (Chl-a) in the surface sediments of emerged tidal flat, and it can be further applied in remote sensing work. Hyperspectral reflectance of intertidal sediments were measured in day time at the tidal flats of the Sishili Bay, the Northern Yellow Sea, and surface sediments (3 mm) were sampled for the in-door measurements of Chl-a. On the basis of the reflectance at 650, 675 and 700 nm, the indices of normalized difference index of microbenthos (NDI-MPB) and trough depth (T-depth) were proposed for the measurements of microphytobenthos biomass. T-depth can be used to remove the linear background spectral noises and indicate the existence of microphytobenthos; Good linear relationship was observed between NDI-MPB and Chl-a content in sediments (2.22-49.36 mg x m(-2), r > 0.99), which may be used to monitor the biomass of microphy to benthos.

Ray-tracing method for creeping waves on arbitrarily shaped nonuniform rational B-splines surfaces.

An accurate creeping ray-tracing algorithm is presented in this paper to determine the tracks of creeping waves (or creeping rays) on arbitrarily shaped free-form parametric surfaces [nonuniform rational B-splines (NURBS) surfaces]. The main challenge in calculating the surface diffracted fields on NURBS surfaces is due to the difficulty in determining the geodesic paths along which the creeping rays propagate. On one single parametric surface patch, the geodesic paths need to be computed by solving the geodesic equations numerically. Furthermore, realistic objects are generally modeled as the union of several connected NURBS patches. Due to the discontinuity of the parameter between the patches, it is more complicated to compute geodesic paths on several connected patches than on one single patch. Thus, a creeping ray-tracing algorithm is presented in this paper to compute the geodesic paths of creeping rays on the complex objects that are modeled as the combination of several NURBS surface patches. In the algorithm, the creeping ray tracing on each surface patch is performed by solving the geodesic equations with a Runge-Kutta method. When the creeping ray propagates from one patch to another, a transition method is developed to handle the transition of the creeping ray tracing across the border between the patches. This creeping ray-tracing algorithm can meet practical requirements because it can be applied to the objects with complex shapes. The algorithm can also extend the applicability of NURBS for electromagnetic and optical applications. The validity and usefulness of the algorithm can be verified from the numerical results.

[Monitoring "green tide" in the Yellow Sea and the East China Sea using multi-temporal and multi-source remote sensing images].

Landsat-TM (Theme Mapper) and EOS (Earth Observing System)-MODIS (MODerate resolution Imaging Spectrora-diometer) Terra/Aqua images were used to monitor the macro-algae (Ulva prolifera) bloom since 2007 at the Yellow Sea and the East China Sea. At the turbid waters of Northern Jiangsu Shoal, there is strong spectral mixing behavior, and satellite images with finer spatical resolution are more effective in detection of macro-algae patches. Macro-algae patches were detected by the Landsat images for the first time at the Sheyang estuary where is dominated by very turbid waters. The MODIS images showed that the macro-algae from the turbid waters near the Northern Jiangsu Shoal drifted southwardly in the early of May and affected the East China Sea waters; with the strengthening east-asian Summer Monsoon, macro-algae patches mainly drifted in a northward path which was mostly observed at the Yellow Sea. Macro-algae patches were also found to drift eastwardly towards the Korea Peninsular, which are supposed to be driven by the sea surface wind.