Research On Forestry Resource Survey Spatio-temporal Data Model And Cloud Storage

Forestry resource is the starting point of all related forestry work,and it is the core and important foundation of all forestry related problems.However,most of existing forestry resources management information systems have many problems,such as static management,poor timeliness of data,independent data of each phase,long sleep of historical data and so on.In this paper,according to actual needs of the forestry resources survey,the new organization and management mode of forestry resources survey data under two kinds of application environment are explored and studied,which provides a new solution for forestry resources survey data management.This paper combine TGIS with cloud storage technology to break through limitations of traditional forestry resources survey data management techniques and models and try to upgrade it.Subcompartment data is the main achievement of the forestry resource survey.Therefore,this paper focuses on the research of spatial and temporal variation of forestry subcompartment data and the organization and management in cloud environment.Based on the analysis of spatial and temporal variation characteristics of forestry subcompartment data,the spatio-temporal data model for the temporal and spatial variation of forestry subcompartment was studied.Based on cloud storage technology,this paper discusses the design and implementation of a data storage and management strategy for forestry resources survey,which can solve the problem of complete preservation and efficient management of forestry resource data.The main contents of this paper are as follows:(1)Spatio-temporal data model for forestry resource investigation and management.In this paper,a detailed study and analysis of spatial and temporal processes of forestry subcompartment is presented,based on which,the concept of event and change is proposed to describe and express spatial and temporal variation of forestry subcompartment.(2)To design forestry subcompartment data index and spatial operation.Aiming at management process of forestry subcompartment data,research and design data index,put forward spatio-temporal data management method of forestry subcompartment data organization,explore the forestry subcompartment data updating method,history of back time operation method.(3)Raster,vector,attribute and other cloud storage schemes of forestry resources survey data.Based on different types and characteristics of the forestry resource data,according to different formats of the forestry resource survey data,propose different cloud storage and organization schemes.The detailed design of forestry subcompartment vector data table model satisfies the storage and organization of forestry subcompartment vector data.Based on HBase,this paper studies the organization mode of forest subcompartment data,puts forward the scheme of forestry subcompartment data storage in cloud environment,and uses GeoJSON format to carry on data interaction,and studies the interaction between the forestry subcompartment and Hbase.(4)Construction and experimental environment of cloud storage cloud forestry resource management.Set up a cluster containing four servers and experiment client.The configuration of hardware,the software and nodes of the cluster,and were deployed to build Hadoop,HBase,Hive and other environment.And,with the help of experimental cluster and Eclipse development environment,experiment with cloud storage programme of forestry resource survey data,and data management,data query and statistical functions,conducting comparative experiment and result analysis the efficiency of three types of data.The results show that the proposed spatio-temporal data model of forestry resource survey model can meet the needs of the investigation and management of forestry resources.For organization and management of forest resources survey data,the deployment of cloud storage environment has great improvement in terms of efficiency comparing with the existing storage and organization.