首页 >  2019, Vol. 23, Issue (2) : 327-335

摘要

全文摘要次数: 4765 全文下载次数: 129
引用本文:

DOI:

10.11834/jrs.20198193

收稿日期:

2018-04-18

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海南省遥感大数据服务平台建设与应用示范
1.海南省地球观测重点实验室, 三亚 572029;2.中国科学院遥感与数字地球研究所 数字地球重点实验室, 北京 100094
摘要:

空间信息技术产业是国家战略性新兴产业。遥感技术的多元化应用和海量数据使得空间信息技术与大数据时代接轨成为现实。海南省是中国最大的省级经济特区。依靠独特的自然地理环境,海南省目前正在实施国际旅游岛、南海战略和21世纪海上丝绸之路重要战略支点等国家战略;坚持生态立省的原则,海南省也是国家生态文明试验区。2016年立项的海南省重大科技计划——“海南省遥感大数据服务平台建设与应用示范”项目,以天空地一体化的空间科技为切入点,基于遥感、导航、GIS等天空地一体化技术手段,建设以海南遥感大数据云为代表的大数据基础设施和智能化共享服务平台,实现海南省典型行业的空间技术应用示范,满足面向新时期海南省社会经济发展中对空间信息产品的快捷、准确、个性化共享服务需求。项目重点攻克了大规模空间观测数据和信息产品共享中的多项关键技术难题,消除目前空间数据分散和信息孤岛现象,提高空间信息获取的准确性和时效性,实现信息资源共享和高效服务。在天空地一体化遥感大数据服务平台下,项目围绕海岸带、农业、林业、旅游、城市环境等典型行业领域开展应用示范,构建省级典型行业领域应用服务信息系统,提供及时有效的动态监测信息和科学决策,以进一步提升政府部门在资源环境管理方面的能力和水平,实现全省资源、环境、经济、社会协调可持续发展。

Construction and service demonstration of Hainan remote sensing big data platform
Abstract:

Spatial information technology is a strategic and emerging industry worldwide. The diversified application of remote sensing technology and massive data featuring the integration of spatial information technology with the big data era has now become a mere reality. Hainan Province, relying on its unique natural and geographical environment, adheres to ecological development and is the largest provincial-level special economic zone in China. Hainan Province is also currently implementing a national strategy for an international tourism island. The major scientific and technological plan for Hainan Province, which was established in 2016, is a demonstration project for the construction and application of the remote sensing big data service platform in the province. With the large-data infrastructure and intelligent shared service platform represented by the Hainan remote sensing big data cloud, the demonstration of space technology applications in a typical industry in Hainan Province is realized to meet the needs of spatial information products in the socio-economic development in the new era of personalized shared service requirements. The project focuses on numerous key technical problems in the sharing of large-scale space observation data and information products, eliminating the current spatial data dispersion and information of island phenomenon, improving the accuracy and timeliness of spatial information acquisition, and achieving information resource sharing and efficient service. Under the integrated remote sensing big data service platform, application demonstration is conducted in typical industries, such as coastal zone, agriculture, forestry, tourism, urban environment, and provincial-level application-oriented information system for typical industries. The big data service platform envisages to provide timely and effective dynamic monitoring information to scientific decision-making platform to further enhance the ability of the government departments in resource and environmental management and achieve coordinated and sustainable development of resources, environment, economy, and society of the province.

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