Remote Sensing Research On Forecast Of Sea Area Use Pattern

A scientific sea area use pattern is an important basis for sea use in coastal areas,and has a key value for improving the rationality of the sea area structure.The article first selects Landsat satellite image data in 1992,2002,and 2012 as the main data source of the study area,establishes a classification system of sea types and relevant interpretation signs of sea types,and adopts a decision tree remote sensing classification method to realize the application.Extraction of sea-type remote sensing information.Then,using the CA-Markov model to use the data of the Dalian sea area in 1992,2002 and 2012,combined with the suitability image set,simulated and analyzed the change trend and potential development law of the use pattern of Dalian's coastal waters in 2022.After research and analysis,the following conclusions are reached:(1)This article uses remote sensing images from the Landsat satellite off the coast of Dalian.It completes the extraction of various ocean types based on the decision tree remote sensing classification method.Through accuracy verification,the accuracy is 96.89%,which shows that the decision tree remote sensing classification method has good application value in obtaining sea area information,and can meet the needs of practical applications and research purposes.(2)According to the data of the current situation of Dalian sea area usage in three periods,the CA-Markov model is used to simulate the sea usage type of the study area in 2022.The simulation results of this model are compared with the 2012 sea area utilization pattern results interpreted by remote sensing.The Kappa index of the simulation results is 81%,which shows that the model operation effect is relatively ideal.From the simulation results,it is found that the use pattern of Dalian's coastal waters shows a characteristic pattern of "fishery dominates and sea use is balanced",with fishery using seas accounting for more than 70%.In terms of time series,the trend of development from singularity to diversification and from single goal to multiple goals is gradually showing,which also shows that the development model of the sea area structure meets the needs of sustainable development.The optimized results can provide certain data support for future coastal zone governance and rectification and rational deployment of resources.