DocumentCode :
2711604
Title :
A flexible soil moisture calculation workflow under geographic Web Service
Author :
Chen, Jiaying ; Zhang, Haitao ; Gu, Jianli ; Guo, Long ; Chen, Nengcheng
Author_Institution :
Coll. of Resources & Environ., Huazhong Agric. Univ., Wuhan, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
Temperature-Vegetation Dryness Index (TVDI) is the most important index in describing the soil moisture. Available TVDI calculation depends on the remote sensing data and computational algorithms. With a partial updating of the algorithms and remote sensing data, it needs to recompile and redeploy the implementation of the TVDI calculation, which contains duplicated work and can´t take full use of the available information resources. This research is focus on how to reuse the soil information under the internet environment. In this paper, all research based on the Web Service and workflow technologies and implementation uses the Windows workflow foundation model as the modeling language. In the end, taking Wuhan as a study area, the TVDI calculating workflow model is built up for soil moisture, then we discuss how to update the TVDI workflow model to fit the different spatial resolution remote sensing image conditions, at the same time, keeping the original TVDI calculation workflow model and avoiding the duplicated work.
Keywords :
Web services; atmospheric temperature; geophysics computing; hydrology; remote sensing; vegetation; China; Windows workflow foundation model; Wuhan; computational algorithms; flexible soil moisture calculation workflow; geographic web service; information resources; remote sensing data; soil moisture; temperature-vegetation dryness index; Indexes; Object oriented modeling; Remote sensing; Runtime; Soil moisture; Web services; Geographic Web Service; Monitoring; Soil Moisture; TVDI; Windows Workflow Foundation;
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.2011.5981016
Filename :
5981016
Link To Document :
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