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| 基于大数据背景的高寒草地资源数据库建设与应用——以青海省为例 |
| Construction and application of an alpine grassland resource database based on big data： A case study of Qinghai Province |
| Received:August 27, 2020 |
| DOI：10.13254/j.jare.2020.0462 |
| 中文关键词: 高寒草地，大数据，数据库建设，应用服务，数据共享 |
| 英文关键词: alpine grasslands, big data, database construction, application services, data sharing |
| 基金项目:国家重点研发计划课题（2016YFC0501801）；青海省科技计划项目（2019-HZ-801） |
| Author Name | Affiliation | E-mail | | LIU Jian-mei | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
Key Laboratory of Land Use and Consolidation of Guangdong Province, Guangzhou 510642, China | | | HU Yue-ming | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
Key Laboratory of Land Use and Consolidation of Guangdong Province, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China
College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016 | | | LIU Luo | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
Key Laboratory of Land Use and Consolidation of Guangdong Province, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China | liuluo@scau.edu.cn | | HE Gui-lin | Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
Key Laboratory of Land Use and Consolidation of Guangdong Province, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China
Guangdong Youyuan Land Information Engineering Co., Ltd., Guangzhou 510642, China | | | ZHAO Li | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
Key Laboratory of Land Use and Consolidation of Guangdong Province, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China | | | HE Yong-xian | Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
Key Laboratory of Land Use and Consolidation of Guangdong Province, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China
South China Academy of Natural Resources Science and Technology, Guangzhou 510642, China | | | XIONG Xi-liu | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China | |
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| 中文摘要: |
| 在大数据时代背景下，为实现高寒草地资源的充分开发利用、共享和安全保护，以青海省为例根据高寒草地资源数据特征以及高寒草地资源监管业务需求，制定了高寒草地资源数据库标准。采用XML技术实现数据统一转换，通过Oracle与ArcGIS平台构建了统一管理与控制的高寒草地资源数据库，并阐述了高寒草地资源数据库在草地监管的应用。本研究克服了传统数据管理独立性和共享性差的困难，为高寒草地管理工作提供全面、高度共享的数据支撑与技术支持，加快了高寒草地资源信息化建设进程。 |
| 英文摘要: |
| Big data can be utilized to realize the full development, utilization, sharing, and safety protection of alpine grassland resources. Taking Qinghai Province as an example, this study determined the data characteristics of alpine grassland resources and the requirements of the alpine grassland resource supervision business in order to formulate an alpine grassland resource database standard. XML (Extensible makeup language)technology was used to achieve unified data conversion. A unified management and control alpine grassland resource database was constructed using the Oracle and ArcGIS platforms. In this paper, the application of the alpine grassland resource database for grassland supervision was explained. This research overcomes the difficulties of poor independence and poor sharing of traditional data management, provides comprehensive and highly shared data support and technical support for alpine grassland management, and accelerates the process of informatization of alpine grassland resources. |
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