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Construction and service demonstration of Hainan remote sensing big data platform

  • role： First author第一作者
  • Email：zhangli@radi.ac.cn
  • Introduction：张丽，1975年生，女，研究员，研究方向为全球生态与海岸带遥感研究。E-mail：zhangli@radi.ac.cn
Li ZHANG,  
  • No information about the author is available
Guoqing LI,  
  • No information about the author is available
Lanwei ZHU,  
  • No information about the author is available
Huadong GUO

Resümee

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.

Schlüsselwort

Hainan province;remote sensing big data;resources and environment;application demonstration

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