DocumentCode :
2708959
Title :
Advance in climate change and global environment research based on geoinformation technology in China
Author :
Wei, Wei ; Xiao, Keyan
Author_Institution :
Sch. of Geosci., Yangtze Univ., Jingzhou, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
Climate change and global environment has become one of the most popular topics. Our understanding of the Earth is expanding for geoinformation technological developments. Scientists, developers and many others have used geoinformation technology to better understand global environment change. Remotely-sensed radiative transfer models, quantitative retrieval theory, data acquisition technology and data assimilation methods are used in global environment change research. The paper introduce the advance in these four aspects. Geographic information system offers a means to assess, analyze, plan and implement environmental researches. The architecture of GIS has developed from early WebGIS to DGIS and Open GIS. The web server format of GIS has developed from web service to grid service, some advances of GIS applied in climate change field are mentioned.
Keywords :
Web services; data acquisition; data assimilation; geographic information systems; geophysical techniques; geophysics computing; radiative transfer; remote sensing; China; DGIS; Open GIS; WebGIS; climate change field; data acquisition technology; data assimilation methods; geographic information system; geoinformation technological developments; global environment change research; grid service; remotely-sensed radiative transfer models; web server format; web service; Atmospheric modeling; Biological system modeling; Geographic Information Systems; Meteorology; Monitoring; Remote sensing; Wireless sensor networks; Geographic Information System (GIS); Remote sensing(RS); advance; climate change; geoinformation technology; global environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980852
Filename :
5980852
Link To Document :
بازگشت