The Frontiers of Society, Science and Technology, 2020, 2(13); doi: 10.25236/FSST.2020.021308.
Hong Wenjun, Wang Jiale, Tong Yao, Ni Congyan
Central South University of Forestry and Technology, CHangsha, Hunan, 410004
Ocean temperature affects the quality of marine habitat. As global warming becomes more and more serious, seawater temperature is rising. This trend causes many fish migrating, thus affecting fisheries development in many areas. Now we analyze this phenomenon. Here we choose to use sea surface temperature (SST) instead of fish location information. Initially, we use ArcGIS trend analysis, GM (1,1) model and time series model to predict fish stock position .We acquired remote sensing image data from NASA, and then obtained SST images of the waters near Scotland through the processing of Envi and ArcGIS. Subsequently, we first use ArcGIS to analyze the change trajectory of the point, and then use the above two forecasting models to fit the location information that the fish may arrive.
SST ArcGIS；Time series prediction；GM (1,1) prediction
Hong Wenjun, Wang Jiale, Tong Yao, Ni Congyan . Analysis of herring migration trends based on SST——a case study of Scotland. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 13: 60-68. https://doi.org/10.25236/FSST.2020.021308.
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