| Land resource management is beneficial to the national economy and people’s livehood.In order to fulfill the responsibilities of land resource management,strengthen natural resource management and order utilization,promote the land resource reformation of delegate power,and implement the sciences and technology innovation strategy of land resource,the information technologyis better to play theleading and driving role.In recent years,the information construction of land resource based on one map database has achieved fruitful results,effectively supporting the land resource management decision-making and social services.However,the traditional methods of using these data have so many hidden problems such as unreasonable data storage,data consistency bug and data safety defects,which seriously restrictthe data storage,analysis,sharing and utilization,and cause a great waste of national resources.Therefore,with the help of new cloud computing technology and concept,it can realize the architecture of land resource one map cloud storage,and improve integrated application support and information security capabilities,and roundly enhance the depth of land resource management and application level,which is an urgent problem to be solved right now.This paper is based on a thorough theoretical research and technical analysis of land resources management,cloud storage,massive spatial data management and other aspects,trying to combine with studies of GIS,computer science and land discipline,putting forward a suitable security architecture,applicacation model and system frame under the circumstance of land resource cloud storage management,to provide technical support for the massive data sharing and application of land resourceonemap cloud storage.The main research includes the following aspects:(1)Firstly,This paper discusses the urgent need of cloud storage in mass multi-source heterogeneous land resource data,analyzes the feasibility of cloud storage of land resource data,studies the type composition and structural characteristics of land resource data,introduces the concept of cloud computing and the basic knowledge of technology architecture,and analyses the cloud storage architecture of the Hadoop platformdetailedly,including the distributed database system,Hbase and distributed file system HDFS and other content.(2)Based on the study of land resource data distributed storage strategy,combined with Hadoop technology,the HDFS file system and HBase database concept,this paper puts forward different researches around spatial data partitioningtactics,land resourcetraditional data,vector data,raster data,index and the only identification problems.According to the storage rules of HBase,it respectively design and realizethe vector data organization model,vector data,index data,attribute data and storage table structure of metadata dictionary.(3)For high performance data retrieval problem,discusses the calculation of node storage reachability detection method of cloud,focus on port conflict detection and firewall detection technology,discusses the spatial data service based on similarity matching,retrieval,retrieval from demand,system structure,work flow,and in-depth understanding of processes,to achieve high performance data land search service cloud platform.(4)According to land resource data access security problem,this paper gives a further discussion on data security technology in cloud storage.Firstly,it aims at the study of the security mechanism and the framework of the current cloud storage data,through a comparative analysis of data encryption,access control and key management.In order to protect land resource a map cloud storage data security and information security,it focuses on the cloud storage data security sharing model,which based on a research and design of data security sharing model of authorization usersfull coverage encryption algorithm and identity authorization Algorithm.(5)Finally,on the basis of the above research,this paper designs and implements a cloud storage management system of land resource.It mainly includes the overall design of the system,the construction of the infrastructure system,the data storage and organization model,the security support system and so on.The result of this study has been adopted by the author’s unit of land resource management departments as the content of information technology adoption and application.It providesa powerful technical support for improving the sharing and exchange of one map large amount of land resource. |