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REMOTE SENSING FOR LAND & RESOURCES    2000, Vol. 12 Issue (4) : 55-59     DOI: 10.6046/gtzyyg.2000.04.11
GIS |
DESIGN AND IMPLEMENTATION ON SPATIAL SCIENCE AND TECHNOLOGY INFORMATION DATABASE OF CSI
CHEN Xiu-wan1, LU Zhi-gao1, MA Jia1, LIN Jia-yuan1, ZHANG Wen-jiang1, LUO Tian-fu2, LIU Bao-fu2
1. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China;
2. Beijing Hitech Informatics Institute, Beijing 100083, China
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Abstract  

Remote sensing technology, which is characterized by producing imagery on multi-platform, different temporal and spatial resolution, has greatly improved mankind's capability of acquisition, processing and application of spatial information. The increase of spatial data sources and the development, applications and industrialization of spatial information technology are urging the need of spatial data sharing and exchanging. Based on a brief introduction on the China Spatial Information Network (CSI) and its database system, the CSI Spatial Science and Technology Information Database (SSTID) management system was designed and implemented in this paper.

Keywords  Airborne hyperspectral imagery      Quantitative remote sensing      Coal spontaneous combustion      Temperature simulation      Thermal diffusion regularity     
Issue Date: 02 August 2011
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Cite this article:   
MAO Yao-Bao,CHEN Chun-lei,JIN Song, et al. DESIGN AND IMPLEMENTATION ON SPATIAL SCIENCE AND TECHNOLOGY INFORMATION DATABASE OF CSI[J]. REMOTE SENSING FOR LAND & RESOURCES, 2000, 12(4): 55-59.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2000.04.11     OR     https://www.gtzyyg.com/EN/Y2000/V12/I4/55


[1] 吕志高.空间信息共享网络数据库系统研究
[D]:〔硕士论文〕.北京:北京大学,2000.

[2] 胡道元.计算机网络【M】.北京:清华大学出版社,1999.

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