| 基于生态健康的绿色植被指数数据采集及边缘计算 |
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| 引用本文： | 贾贤杰,刘超,季晓康,薛付忠.基于生态健康的绿色植被指数数据采集及边缘计算[J].中华疾病控制杂志,2022,26(10):1167-1173. |
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| 作者姓名： | 贾贤杰 刘超 季晓康 薛付忠 |
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| 作者单位： | 1.250012 济南, 山东大学齐鲁医学院公共卫生学院生物统计学系 |
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| 基金项目： | 国家重点研发计划2020YFC2003500 |
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| 摘 要： | 目的 在健康医疗大数据时代，更快、更精准地获取环境绿地暴露水平数据，助力对绿色植被暴露与健康的研究。 方法 利用Python设计一套能够进行自动化采集绿色植被指数的技术流程和程序。同时以国家健康医疗大数据平台为依托，对边缘计算在绿色植被指数采集应用进行探究和展望。 结果 该程序的运行极大缩短了对植被指数的处理时间，并且与传统专业软件获取的结果比较，具有较高的一致性，r>0.99。 结论 基于边缘计算的绿色植被指数的自动化采集可为国内绿色植被暴露与健康的研究提供技术支持。
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| 关 键 词： | Python 绿色植被指数 边缘计算 |
| 收稿时间： | 2021-05-06 |
Data collection and edge calculation of green vegetation index based on ecological health |
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| Affiliation: | 1.Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China2.National Institute of Health Data Science of China, Jinan 250003, China3.Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical University, Bengbu 233030, China |
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| Abstract: | Objective In the era of big data about health care, faster and more accurate access to environmental green space exposure level data help scholars to research on green vegetation exposure and health. Methods We use Python to design a technical process and procedure to automate the collection of green vegetation index. and also exploreand prospect the application of edge computing in green vegetation index collection based on the national health care big data platform. Results The operation of the program greatly reduced the processing time of the vegetation indices and provides a high degree of consistency in comparison with the results obtained by traditional professional software. Conclusion Automated collection of green vegetation indices based on edge computing can provide technical support for domestic research on green vegetation exposure and health. |
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