Research On Key Technologies Of Agricultural Geospatial Web Services

Agricultural monitoring is one of the most important and most extensive research areas in the application of remote sensing and geographic information systems.Agricultural geographical information is of great importance to agricultural markets,food prices,food security,economic prosperity and the formulation of agricultural policies.The monitoring of agricultural natural disasters plays a decisive role in the sustainable development of global agriculture and the global agricultural industry chain.The rapid development of remote sensing and geographic information technology has made it an important way for agricultural informationization.Remote sensing satellites can acquire ground information quickly and accurately,with the combination of other high technologies such as GIS,they can play an important role in the planning,collection,management,conversion,analysis,cataloging,distribution,access,excavation,visualization,and quality control of agricultural data.With the development of sensor technology and spatial information service technology,agricultural geospatial data(Agro-geodata)and geoprocessing functions can be acquired and shared on the network in the form of services in accordance with standard interfaces,which makes the unprecedented explosive growth of Agro-geodata,processes,models and other resources.However,the heterogeneity of agricultural data and information models,the rapid acquisition of data,and the inefficient processing capabilities of data information make users face the situation of "huge volume of data,information proliferation,but difficult to obtain knowledge".The agricultural natural disasters and agricultural environment monitoring under the network environment has brought great challenges and other major social problems.The Open Geospatial Consortium has developed a series of standards for cyberinfrastructure data services and processing services that have greatly improved the interoperability of data services and processing services,as well as improved the access to agricultural geospatial data.For long-term and complex agricultural monitoring tasks,such as crop yield assessment,multiple data and functions are required to cooperate with each other in order to complete the work,this requires the support of spatial information network services and workflow technologies.With the increase of data volume,cloud computing technology has provided massive data distributed storage,management,and high-performance distributed computing capabilities for the field of agricultural geographic information,thus providing an effective method to solve the problem of data volume and calculation.How to use these technical methods to quickly discover valuable information from multi-source agricultural geospatial data and meet the decision-making needs of various agricultural monitoring departments is a key research topic in the field of agricultural remote sensing and geographic information.It involves difficulties of multi-source agricultural data,real-time data acquisition,and dynamic interaction of agricultural information models,data and heterogeneous processing.This paper proposes the theory and method of geographic information intelligent services oriented to the field of agricultural monitoring and modeling.It aims to use the knowledge and technology of geospatial Web services to solve agricultural problems.The basic research idea of this paper is:Firstly,aiming at the core functions of the current agricultural data and information runtime system,use the existing technology of spatial information network services,establish the logical architecture of agricultural geospatial Web service,and design functional modules of services.Secondly,for the typical agricultural monitoring task,the agricultural process monitoring business process modeling language is designed to analyze and formalize the business requirements and logic flow.Finally,a business model driving method based on geographic information service and scientific workflow is proposed,as well as how to optimize service performance.The main research contents of this article include:(1)Logical architecture and functional modules of agricultural geospatial Web service.According to the core functions and features requirements of the intelligent agricultural data and information runtime system,establish the logical architecture of geospatial Web service,on this basis,design the data and processing service function modules to integrate the agricultural monitoring business model under the Web environment,thus provide support for the integration of agricultural monitoring business models.(2)Agricultural monitoring business process modeling and description methods.According to the typical scientific application in the field of agricultural monitoring,the business requirements and logic flow are analyzed,the modeling description language of agricultural monitoring is designed,and a formal description method of business logic is provided.(3)Geographic information intelligent service method driven by agricultural monitoring business model.This paper proposes a driving and execution method based on geospatial Web service and scientific workflow.The proposed service performance optimization methods,including asynchronous invoke methods for agricultural geospatial Web services and workflows,and geospatial data and processing services based on cloud computing platforms.(4)Prototype system development.Based on the methods proposed in this paper,an agricultural geospatial data and processing services prototype system and a model-driven agricultural monitoring prototype system were developed,use cases of crop reduction assessment were proposed.The main innovations of this article include:(1)Proposed the logical architecture of agricultural geospatial Web service.(2)Proposed a model description language for agricultural monitoring field,and a formal description method for business requirements and process models.(3)Proposed an agricultural monitoring model-driven service method,and optimization method for geospatial Web service.