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A Big Data Grided Organization and Management Method for Cropland Quality Evaluation

Author

Listed:
  • Shuangxi Miao

    (College of Land Science and Technology, China Agricultural University, Beijing 100083, China
    Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
    These authors contributed equally to this work.)

  • Shuyu Wang

    (College of Land Science and Technology, China Agricultural University, Beijing 100083, China
    These authors contributed equally to this work.)

  • Chunyan Huang

    (College of Land Science and Technology, China Agricultural University, Beijing 100083, China)

  • Xiaohong Xia

    (College of Land Science and Technology, China Agricultural University, Beijing 100083, China)

  • Lingling Sang

    (Key Laboratory of Land Consolidation and Rehabilitation, Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing 100035, China
    Technology Innovation Center for Land Engineering, Ministry of Natural Resources, Beijing 100035, China)

  • Jianxi Huang

    (College of Land Science and Technology, China Agricultural University, Beijing 100083, China
    Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China)

  • Han Liu

    (Key Laboratory of Land Consolidation and Rehabilitation, Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing 100035, China
    Technology Innovation Center for Land Engineering, Ministry of Natural Resources, Beijing 100035, China
    Key Laboratory of Digital Mapping and Land Information Application, Ministry of Natural Resources, Wuhan 430079, China)

  • Zheng Zhang

    (Key Laboratory of Land Consolidation and Rehabilitation, Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing 100035, China
    Technology Innovation Center for Land Engineering, Ministry of Natural Resources, Beijing 100035, China)

  • Junxiao Zhang

    (Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
    Qilu Aerospace Information Research Institute, Jinan 250100, China)

  • Xu Huang

    (College of Land Science and Technology, China Agricultural University, Beijing 100083, China)

  • Fei Gao

    (Department of Natural Resources, No. 263 Hongqi Street, Harbin 150030, China)

Abstract

A new gridded spatio-temporal big data fusion method is proposed for the organization and management of cropland big data, which could serve the analysis application of cropland quality evaluation and other analyses of geographic big data. Compared with traditional big data fusion methods, this method maps the spatio-temporal and attribute features of multi-source data to grid cells in order to achieve the structural unity and orderly organization of spatio-temporal big data with format differences, semantic ambiguities, and different coordinate projections. Firstly, this paper constructs a dissected cropland big data fusion model and completes the design of a conceptual model and logic model, constructs a cropland data organization model based on DGGS (discrete global grid system) and Hash coding, and realizes the unified management of vector data, raster data and text data by using multilevel grids. Secondly, this paper researches the evaluation methods of grid-scale adaptability, and generates distributed multilevel grid datasets to meet the needs of cropland area quality evaluation. Finally, typical data such as soil organic matter data, road network data, cropland area data, and statistic data in Da’an County, China, were selected to carry out the experiment. The experiment verifies that the method could not only realize the unified organization and efficient management of cultivated land big data with multimodal characteristics, but also support the evaluation of cropland quality.

Suggested Citation

  • Shuangxi Miao & Shuyu Wang & Chunyan Huang & Xiaohong Xia & Lingling Sang & Jianxi Huang & Han Liu & Zheng Zhang & Junxiao Zhang & Xu Huang & Fei Gao, 2023. "A Big Data Grided Organization and Management Method for Cropland Quality Evaluation," Land, MDPI, vol. 12(10), pages 1-20, October.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:10:p:1916-:d:1259370
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    References listed on IDEAS

    as
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