Lessons learned from INTAMAP, an interoperable web service for the real-time interpolation of environmental variables

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Interpolated data are an important part of the environmental information exchange as many variables can only be measured at situate discrete sampling locations. Spatial interpolation is a complex operation that has traditionally required expert treatment, making automation a serious challenge. This paper presents a few lessons learnt from INTAMAP, a project that is developing an interoperable web processing service (WPS) for the automatic interpolation of environmental data using advanced geostatistics, adopting a Service Oriented Architecture (SOA). The "rainbow box" approach we followed provides access to the functionality at a whole range of different levels. We show here how the integration of open standards, open source and powerful statistical processing capabilities allows us to automate a complex process while offering users a level of access and control that best suits their requirements. This facilitates benchmarking exercises as well as the regular reporting of environmental information without requiring remote users to have specialized skills in geostatistics.

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Publication date1 Dec 2009
Publication titleProceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009
Number of pages4
Original languageEnglish
Event33rd International Symposium on Remote Sensing of Environment, ISRSE 2009 - Stresa, United Kingdom


Conference33rd International Symposium on Remote Sensing of Environment, ISRSE 2009
CountryUnited Kingdom


  • web services, rainbow box, real-time geostatistics, uncertainty interpolation errors

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