Environmental Factors In East Sea And The Yellow Sea Based On Remote Sensing And Hsi Model Of Feeding Migration Of Small Yellow Croaker

The development of remote sensing technology and remote sensing data sharing platform were built to provide a large range of updated marine environmental data, while the spectral resolution, spatial resolution and radiometric resolution of remote sensing were made further development , so at the same time retrieval accuracy of remote sensing were improved, retrieval results were closer to the actual data more and more , these conditions made the study of the relationship between marine fish and their habitat more easily. Ocean remote sensing was developing more quickly , including temperature, salinity, chlorophyll, sea surface height and sea surface wind and other environmental factors. Combination of obtained remote sensing data and mathematical model of marine biology could help us to improve the predictive ability of the dynamic of fisheries resources, to improve the ability of assessing the fisheries resources.The data of small yellow croaker in the region of the East Sea and the Yellow Sea were collected from autumn of 2001 to 2002 and 2004 to 2005, including biology and geographic distribution of small yellow croaker and the remote sensing temperature, chlorophyll, sea surface height and sea surface wind, then the relationship between CPUE data of small yellow croaker and these environmental factors were analyzed, model was built and it was verified. The result indicated that the predicted distribution of CPUE was consistent with the distribution of resources of fact research .The main research contents, methods and conclusions were shown in the following:(1) The remote sensing data were received by HDFView and ENVI software , and the map of the water temperature, chlorophyll, sea surface height and surface wind in the region of the East Sea and the Yellow Sea from 2001 to 2002 and from 2004 to 2005 were drawn . (2) Using weighted by inverse distance squared interpolation method to obtain location of the environmental elements value. Using quantile regression to analyze biological data of small yellow croaker and environmental data by Blossom software ,then built the model equations.(3) The geographic distribution data of small yellow croaker and water temperature and chlorophyll data were analyzed to establish the model, the result indicated that HSI model was best when Q = 0.95 level, with a significant relationship between water temperature, the relationship between CPUE and water temperature showed strong positive correlation, CPUE and chlorophyll also showed positive correlation, while the interaction terms showed the negative correlation.(4) According to the predicted CPUE values of small yellow croaker, the HSI index model of small yellow croaker were established, and the map of HSI index and the distribution of CPUE of small yellow croaker were drawn by Surfer 8.0 software and ArcGIS software.(5) The HSI maps of small yellow croaker were drawn by Surfer software, and it showed that the HSI value in the region of 32°N～33°N,122°30′～123°30′E were higher than other regions, so the region probably was the best suitable habitat of the feeding migration stock ,while the HSI value were less in the south of 30°N and the east of 125°E, the result indicated that the predicted distribution of CPUE was consistent with the distribution of resources of fact research.