M-A model of agricultural remote sensing monitoring metadata based on grid environment

Authors:
Wanlin Gao;Lina Yu;Qiong An;Jianing Zhao;Yilong Zhu
Affiliations:
College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR China and China Center for Information Industry Development, Beijing 100048, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR China and China Center for Information Industry Development, Beijing 100048, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, PR China
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2011

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Abstract

The increase of the amount of agricultural remote sensing monitoring data makes it difficult for data storage and management thereby limiting the utilization of data resources. Considering the security and response time, the original data cannot be directly exposed on the Internet for user queries. Therefore, there is an urgent need to organize and describe agricultural remote sensing monitoring data effectively for users to understand and query. In this paper, based on a detailed analysis, for rational planning and organizing of agricultural remote sensing monitoring data resources, a M-A (Metadata of Agricultural Remote Sensing Monitoring Data) model is constructed with the study of data characteristics and the Grid environment. The M-A model structure and its contents are designed using the XML language which gives a relatively comprehensive description of agricultural remote sensing monitoring data and the Grid environment. In summary, the study of this paper provides a practical and effective support for data standardization, sharing, exchanging and integration under the Grid environment.