000134966 001__ 134966
000134966 005__ 20180913055136.0
000134966 02470 $$2ISI$$a000269126700175
000134966 037__ $$aCONF
000134966 245__ $$aEnvironmental Monitoring 2.0
000134966 269__ $$a2009
000134966 260__ $$aShanghai, China$$bICDE $$c2009
000134966 336__ $$aConference Papers
000134966 520__ $$aA sensor network data gathering and visualization infrastructure is demonstrated, comprising of Global Sensor Networks (GSN) middleware and Microsoft SensorMap. Users are invited to actively participate in the process of monitoring real-world deployments and can inspect measured data in the form of contour plots overlayed onto a high resolution map and a digital topographic model. Users can go back in time virtually to search for interesting events or simply to visualize the temporal dependencies of the data. The system presented is not only interesting and visually enticing for non-expert users but brings substantial benefits to environmental scientists. The easily installed data acquisition component as well as the powerful data sharing and visualization platform opens up new ground in collaborative data gathering and interpretation in the spirit of Web 2.0 applications.
000134966 6531_ $$asensor networks
000134966 6531_ $$aenvironmental monitoring
000134966 6531_ $$asensormap
000134966 6531_ $$aGSN
000134966 6531_ $$aglobal sensor networks
000134966 6531_ $$aSwiss experiment
000134966 6531_ $$aNCCR-MICS
000134966 6531_ $$aNCCR-MICS/CL4
000134966 700__ $$aMichel, Sebastian
000134966 700__ $$aSalehi, Ali
000134966 700__ $$aLuo, Liqian
000134966 700__ $$aDawes, Nicholas
000134966 700__ $$0240941$$aAberer, Karl$$g134136
000134966 700__ $$aBarrenetxea, Guillermo
000134966 700__ $$aBavay, Mathias
000134966 700__ $$aKansal, Aman
000134966 700__ $$aKumar, K.Ashwin
000134966 700__ $$aNath, Suman
000134966 700__ $$0242902$$aParlange, Marc$$g155043
000134966 700__ $$aTansley, Stewart
000134966 700__ $$avan Ingen, Catharine
000134966 700__ $$aZhao, Feng
000134966 700__ $$aZhou, Yongluan
000134966 7112_ $$a25th International Conference on Data Engineering (ICDE 2009)$$cShanghai, China$$dMarch 29-April 2, 2009
000134966 773__ $$t25th International Conference on Data Engineering (ICDE 2009)
000134966 8564_ $$zURL
000134966 8564_ $$s1028644$$uhttps://infoscience.epfl.ch/record/134966/files/michel-environmentalMonitoring.pdf$$zn/a
000134966 909C0 $$0252004$$pLSIR$$xU10405
000134966 909CO $$ooai:infoscience.tind.io:134966$$pconf$$pIC
000134966 937__ $$aLSIR-CONF-2009-006
000134966 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000134966 980__ $$aCONF