A Big Data Grided Organization and Management Method for Cropland Quality Evaluation
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 meth...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shuangxi Miao [verfasserIn] Shuyu Wang [verfasserIn] Chunyan Huang [verfasserIn] Xiaohong Xia [verfasserIn] Lingling Sang [verfasserIn] Jianxi Huang [verfasserIn] Han Liu [verfasserIn] Zheng Zhang [verfasserIn] Junxiao Zhang [verfasserIn] Xu Huang [verfasserIn] Fei Gao [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Land - MDPI AG, 2013, 12(2023), 1916, p 1916 |
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| Übergeordnetes Werk: |
volume:12 ; year:2023 ; number:1916, p 1916 |
| Links: |
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| DOI / URN: |
10.3390/land12101916 |
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| Katalog-ID: |
DOAJ093118139 |
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| 520 | |a 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. | ||
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10.3390/land12101916 doi (DE-627)DOAJ093118139 (DE-599)DOAJccd0c94284734c4cb70816effbf0770e DE-627 ger DE-627 rakwb eng Shuangxi Miao verfasserin aut A Big Data Grided Organization and Management Method for Cropland Quality Evaluation 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. organization and management of big data geographic big data grids cropland quality evaluation Agriculture S Shuyu Wang verfasserin aut Chunyan Huang verfasserin aut Xiaohong Xia verfasserin aut Lingling Sang verfasserin aut Jianxi Huang verfasserin aut Han Liu verfasserin aut Zheng Zhang verfasserin aut Junxiao Zhang verfasserin aut Xu Huang verfasserin aut Fei Gao verfasserin aut In Land MDPI AG, 2013 12(2023), 1916, p 1916 (DE-627)72649500X (DE-600)2682955-1 2073445X nnns volume:12 year:2023 number:1916, p 1916 https://doi.org/10.3390/land12101916 kostenfrei https://doaj.org/article/ccd0c94284734c4cb70816effbf0770e kostenfrei https://www.mdpi.com/2073-445X/12/10/1916 kostenfrei https://doaj.org/toc/2073-445X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1916, p 1916 |
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10.3390/land12101916 doi (DE-627)DOAJ093118139 (DE-599)DOAJccd0c94284734c4cb70816effbf0770e DE-627 ger DE-627 rakwb eng Shuangxi Miao verfasserin aut A Big Data Grided Organization and Management Method for Cropland Quality Evaluation 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. organization and management of big data geographic big data grids cropland quality evaluation Agriculture S Shuyu Wang verfasserin aut Chunyan Huang verfasserin aut Xiaohong Xia verfasserin aut Lingling Sang verfasserin aut Jianxi Huang verfasserin aut Han Liu verfasserin aut Zheng Zhang verfasserin aut Junxiao Zhang verfasserin aut Xu Huang verfasserin aut Fei Gao verfasserin aut In Land MDPI AG, 2013 12(2023), 1916, p 1916 (DE-627)72649500X (DE-600)2682955-1 2073445X nnns volume:12 year:2023 number:1916, p 1916 https://doi.org/10.3390/land12101916 kostenfrei https://doaj.org/article/ccd0c94284734c4cb70816effbf0770e kostenfrei https://www.mdpi.com/2073-445X/12/10/1916 kostenfrei https://doaj.org/toc/2073-445X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1916, p 1916 |
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10.3390/land12101916 doi (DE-627)DOAJ093118139 (DE-599)DOAJccd0c94284734c4cb70816effbf0770e DE-627 ger DE-627 rakwb eng Shuangxi Miao verfasserin aut A Big Data Grided Organization and Management Method for Cropland Quality Evaluation 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. organization and management of big data geographic big data grids cropland quality evaluation Agriculture S Shuyu Wang verfasserin aut Chunyan Huang verfasserin aut Xiaohong Xia verfasserin aut Lingling Sang verfasserin aut Jianxi Huang verfasserin aut Han Liu verfasserin aut Zheng Zhang verfasserin aut Junxiao Zhang verfasserin aut Xu Huang verfasserin aut Fei Gao verfasserin aut In Land MDPI AG, 2013 12(2023), 1916, p 1916 (DE-627)72649500X (DE-600)2682955-1 2073445X nnns volume:12 year:2023 number:1916, p 1916 https://doi.org/10.3390/land12101916 kostenfrei https://doaj.org/article/ccd0c94284734c4cb70816effbf0770e kostenfrei https://www.mdpi.com/2073-445X/12/10/1916 kostenfrei https://doaj.org/toc/2073-445X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1916, p 1916 |
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10.3390/land12101916 doi (DE-627)DOAJ093118139 (DE-599)DOAJccd0c94284734c4cb70816effbf0770e DE-627 ger DE-627 rakwb eng Shuangxi Miao verfasserin aut A Big Data Grided Organization and Management Method for Cropland Quality Evaluation 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. organization and management of big data geographic big data grids cropland quality evaluation Agriculture S Shuyu Wang verfasserin aut Chunyan Huang verfasserin aut Xiaohong Xia verfasserin aut Lingling Sang verfasserin aut Jianxi Huang verfasserin aut Han Liu verfasserin aut Zheng Zhang verfasserin aut Junxiao Zhang verfasserin aut Xu Huang verfasserin aut Fei Gao verfasserin aut In Land MDPI AG, 2013 12(2023), 1916, p 1916 (DE-627)72649500X (DE-600)2682955-1 2073445X nnns volume:12 year:2023 number:1916, p 1916 https://doi.org/10.3390/land12101916 kostenfrei https://doaj.org/article/ccd0c94284734c4cb70816effbf0770e kostenfrei https://www.mdpi.com/2073-445X/12/10/1916 kostenfrei https://doaj.org/toc/2073-445X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1916, p 1916 |
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10.3390/land12101916 doi (DE-627)DOAJ093118139 (DE-599)DOAJccd0c94284734c4cb70816effbf0770e DE-627 ger DE-627 rakwb eng Shuangxi Miao verfasserin aut A Big Data Grided Organization and Management Method for Cropland Quality Evaluation 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. organization and management of big data geographic big data grids cropland quality evaluation Agriculture S Shuyu Wang verfasserin aut Chunyan Huang verfasserin aut Xiaohong Xia verfasserin aut Lingling Sang verfasserin aut Jianxi Huang verfasserin aut Han Liu verfasserin aut Zheng Zhang verfasserin aut Junxiao Zhang verfasserin aut Xu Huang verfasserin aut Fei Gao verfasserin aut In Land MDPI AG, 2013 12(2023), 1916, p 1916 (DE-627)72649500X (DE-600)2682955-1 2073445X nnns volume:12 year:2023 number:1916, p 1916 https://doi.org/10.3390/land12101916 kostenfrei https://doaj.org/article/ccd0c94284734c4cb70816effbf0770e kostenfrei https://www.mdpi.com/2073-445X/12/10/1916 kostenfrei https://doaj.org/toc/2073-445X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1916, p 1916 |
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Shuangxi Miao |
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A Big Data Grided Organization and Management Method for Cropland Quality Evaluation organization and management of big data geographic big data grids cropland quality evaluation |
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A Big Data Grided Organization and Management Method for Cropland Quality Evaluation |
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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. |
| abstractGer |
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. |
| abstract_unstemmed |
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. |
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| score |
7.401636 |