Affiliation:
1. College of Geography and Planning, Henan University, Kaifeng 475004, China
2. Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China
3. School of Philosophy and Public Management, Henan University, Kaifeng 475004, China
Abstract
The business process model of information management is also optimized, while helping the relevant departments using the system to improve their work efficiency. After research and analysis, this paper shows that the land resource information management system can be divided into four functional modules, which are basic land resource information management, land resource land use approval management, official document information management, and office business management, and these modules can effectively complete the work related to land resource management. The full and reasonable use and protection of land resources can ensure the implementation of sustainable development policies, and the development of land resource management is the basic requirement of national modernization and the inevitable trend in the country, and because land resource management covers a large amount of information involving a wide range of information, including information within the scope of work, it is very necessary to ensure the effectiveness and accuracy of land resources and information. The information system can effectively improve the efficiency and accuracy of land resources and information. Information system can effectively improve the development, management, research, and use of land resources; electronic government system can help land resources to obtain accurate analysis and research and detailed access to the ability to understand the status of resources, in the daily changing data information dynamic understanding of the development of information changes, and grasp the latest trends in land resources, the trend of analysis, and monitoring of market resources, to provide customers with reliable decision support. It is a powerful background data guarantee for customers to provide reliable decision support.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems