Research On Incremental Extraction Method Of Geographical National Condition Data

Incremental data of geographical conditions is the basic data for updating the database of geographical conditions,which reflects the information of the changing parts of geographical entities.The accuracy and reliability of incremental data extraction directly affect related applications and macro-decision-making.However,the spatial correlation of geographic data is abundant and the attribute structure is complex.There are some problems in incremental patch extraction,such as incomplete matching of patches(elements),high requirements of personnel and hardware environment.In order to solve the above problems,this paper relies on the monitoring data of geographical national conditions and combines the function modules provided by ArcMap to study the rules of identifying and extracting the patches(elements)of geographical national conditions changes,and proposes an incremental extraction method of geographical national conditions based on spatial location linkage feature attributes,which achieves incremental extraction,and makes a comprehensive statistical analysis of the extraction results.The main contents of the study include:(1)Definition of change types of geographical national conditions map patches(elements).This paper analyses the characteristics of geographic national conditions data and the evolution process of geographic entities,and defines the change types of target geographic national conditions patches(elements)in incremental extraction.(2)Research on incremental extraction method.Combining geometric feature,attribute feature,time feature and location matching and change linkage relationship of geographic event analysis patches(elements),the change type is judged,and a change extraction method based on spatial location linkage feature attribute judgment and a whole set of incremental extraction method flow are proposed.(3)Realization and feasibility analysis of incremental extraction method.The proposed method is used to extract the incremental data of surface coverage and geographical factors in Yunnan Province from 2015 to 2016 and 2016 to 2017.The accuracy and efficiency of the method are evaluated by comparing with the traditional incremental extraction method.(4)Applicability of incremental extraction results.Based on the results of incremental extraction,the area change and spatial distribution of vegetation,water area and highway coverage in Yunnan Province from 2015 to 2216 and 2016 to 2017 were comprehensively analyzed,and the characteristics of expanded area and direction of Kunming urban built-up area were discussed and analyzed from the regional perspective.The research results show that the research method is well suited to the geographic data and solves the problem of inaccurate spatial matching and location of change types,which provides some reference for incremental updating of geographic data.Compared with the traditional incremental extraction based on FETID location,this method has the characteristics of high extraction efficiency,flexible workflow and strong applicability,and has certain feasibility and reference value.The results of statistical analysis of land cover and urban expansion are consistent with the trend of objective facts,and the results and methods are practical.