Data-Free Area Detection and Evaluation for Marine Satellite Data Products

The uncertainty verification of satellite ocean color products and the bias analysis multiple data are both indispensable in evaluation products. Incidentally, often have missing information that causes methods mentioned above to be difficult evaluate these effectively. We propose an method based on data-free area. objective this study is quality with respect integrity continuity. First, we use improved Spectral Angle Mapper, also called ISAM. It can automatically obtain optimal threshold value for each class objects. Then, ISAM, perform spectral mining first-level Yellow Sea Bohai obtained from Geostationary Ocean Color Imager (GOCI), Moderate Resolution Imaging Spectroradiometer (MODIS) Land Instrument (OLCI). In manner, quantitative results related areas obtained. findings indicate product OLCI completeness GOCI MODIS striking similarities their or visualization metrics. Moreover, a concomitant phenomenon ocean-covered objects apparent area temporal spatial distribution characteristics. two characteristics subsequently explored further analysis. adopted help enrich content evaluation, facilitate research cloud detection algorithms understand composition regional marine proposed has wide application value.