Construction of big data application platform for rural landscape resources
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1.China Urban Construction Design & Research Institute Co., Ltd., Beijing 100120, China;2.College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China

Clc Number:

TU982.29;TP311.13

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    Abstract:

    Under the background of beautiful countryside construction and digital village strategy, the digital integration, management, expression and application of rural landscape resources are the basic work to improve digital management of rural ecology and human settlements in China.A big data application platform for rural landscape resources was constructed to solve the multi-source heterogeneity and difficulty in integrating rural landscape resource data, applying 3S and multi-source data fusion technology.The overall functional structure was described around the construction process of the core modules of the three platforms including the integration and storage of multi-scale rural landscape resource data, the function of classification and evaluation of rural landscape resources, and the visualization of rural landscape resource data.The integration and display of multi-scale and multi-source rural landscape resource data in the national territory-region-local -village domain was realized by building a distributed “space-attribute integration” rural landscape resource big data application platform.On one hand, the platform offers data channels and digital platform support for rural planning, construction, and management; on the other hand, it will provide methods and ideas for constructing rural big data platforms in other fields to help the development of digital villages.

    Fig.1 Functional module of big data application platform for rural landscape resource
    Fig.2 Framework of big data application platform for rural landscape resources
    Fig.3 Rural landscape resources and their data types in different scales
    Fig.4 Multi-source heterogeneous geospatial model
    Fig.5 Process of rural landscape resource data cleaning - aggregation - production - storage
    Fig.6 Process of multi-scale rural landscape resource classification
    Fig.7 Process of multi-scale rural landscape resource evaluation
    Fig.8 Visualization window of big data application platform for rural landscape resource
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谭人华,陈艳,蔡文婷,佃袁勇. Construction of big data application platform for rural landscape resources[J]. Jorunal of Huazhong Agricultural University,2023,42(2):177-185.

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  • Received:June 21,2022
  • Online: March 31,2023
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