Marine has always been a place of dependence for survival of life on Earth, she provided a steady stream of survival necessity for all life on Earth, but also passively receives any waste they discarded. Marine resources contain the most important fish and other marine fishery resources and fishing for human consumption. Global fishery resources developed quickly before marine ecosystem severely suffered damage because of the increase of fishing strength and climate change. The development of marine fishery stagnated in 1980 s, and even appeared the trend of decline.This study is divided into five parts: The first part is a brief introduction background and significance of research, research progress on remote sensing technology inductive analysis; The second part expounds the fishery and the relationship between ocean environment elements and analyzes the basic principle of satellite remote sensing of ocean environmental information, technical methods and the application of Marine fisheries technical methods; The third part USES the method of documents and materials, combining quantitative qualitative analysis methods, such as in the Zhou Shan fishing ground, discusses the Zhou Shan district major natural resources and the application of remote sensing technology in the fishery resources development situation, and further analyzes the remote sensing technology in the Zhou Shan fishing ground area of ocean dynamics and the application of environmental monitoring; The fourth part is based on the established database, the GIS and example reasoning technology, the combination of research and development of Zhou Shan fishing ground fisheries fast forecasting system, realized the quick report and forecast of central fisheries; The fifth part is conclusion and prospect.Study takes sea surface temperature and chlorophyll a concentration marine environmental factors as input variables of habitat model, an integrated habitat suitable value as the output variable, normal distribution fit showed comprehensive and appropriate value between the input and output variables among the factors having the marine environment good correlation between fishing ground forecasting results obtained from the threshold values into the actual area fit, because of fisheries, remote sensing data collection difficulties and other reasons, offshore marine fisheries Remote sensing is relatively fewer than other, the results of this study may provide a basis for further research. |