APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA
With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety,...
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2021-06-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-b041998fe8e84cd481fcaa95089ad76c2021-07-01T00:45:11ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-06-01XLIII-B4-202129330010.5194/isprs-archives-XLIII-B4-2021-293-2021APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATAH. Li0H. Li1H. Li2W. Huang3Z. Zha4J. Yang5National Geomatics Center of China, Beijing, ChinaInstitute of Information Engineering, Chinese Academy of Sciences, Beijing, ChinaSchool of Cyber Security, University of Chinese Academy of Sciences, Beijing, ChinaNational Geomatics Center of China, Beijing, ChinaNational Geomatics Center of China, Beijing, ChinaNational Geomatics Center of China, Beijing, ChinaWith the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, Spatiotemporal big data mining, the impact of geospatial big data on visualization, social perception and smart city, geospatial big data services for government decision-making support four aspects. Based on the connotation and extension of geospatial big data, this paper comprehensively defines geospatial big data comprehensively. The application of geospatial big data in location visualization, industrial thematic geographic information comprehensive service and geographic data science and knowledge service is introduced in detail. Furthermore, the key technologies and design indicators of the National Geospatial Big Data Platform are elaborated from the perspectives of infrastructure, functional requirements and non-functional requirements, and the design and application of the National Geospatial Public Service Big Data Platform are illustrated. The challenges and opportunities of geospatial big data are discussed from the perspectives of open resource sharing, management decision support and data security. Finally, the development trend and direction of geospatial big data are summarized and prospected, so as to build a high-quality geospatial big data platform and play a greater role in social public application services and administrative management decision-making.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2021/293/2021/isprs-archives-XLIII-B4-2021-293-2021.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Li H. Li H. Li W. Huang Z. Zha J. Yang |
spellingShingle |
H. Li H. Li H. Li W. Huang Z. Zha J. Yang APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
H. Li H. Li H. Li W. Huang Z. Zha J. Yang |
author_sort |
H. Li |
title |
APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA |
title_short |
APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA |
title_full |
APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA |
title_fullStr |
APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA |
title_full_unstemmed |
APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA |
title_sort |
application and platform design of geospatial big data |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2021-06-01 |
description |
With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, Spatiotemporal big data mining, the impact of geospatial big data on visualization, social perception and smart city, geospatial big data services for government decision-making support four aspects. Based on the connotation and extension of geospatial big data, this paper comprehensively defines geospatial big data comprehensively. The application of geospatial big data in location visualization, industrial thematic geographic information comprehensive service and geographic data science and knowledge service is introduced in detail. Furthermore, the key technologies and design indicators of the National Geospatial Big Data Platform are elaborated from the perspectives of infrastructure, functional requirements and non-functional requirements, and the design and application of the National Geospatial Public Service Big Data Platform are illustrated. The challenges and opportunities of geospatial big data are discussed from the perspectives of open resource sharing, management decision support and data security. Finally, the development trend and direction of geospatial big data are summarized and prospected, so as to build a high-quality geospatial big data platform and play a greater role in social public application services and administrative management decision-making. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2021/293/2021/isprs-archives-XLIII-B4-2021-293-2021.pdf |
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