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GIS and Water Data Services David R. Maidment Center for Research in Water Resources The University of Texas at Austin.

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Presentation on theme: "GIS and Water Data Services David R. Maidment Center for Research in Water Resources The University of Texas at Austin."— Presentation transcript:

1 GIS and Water Data Services David R. Maidment Center for Research in Water Resources The University of Texas at Austin

2 Morning Schedule Session 1 (8:30-10AM): Basic PrinciplesSession 1 (8:30-10AM): Basic Principles –David Maidment: Introduction –Clint Brown: ESRI’s “Hydro Vision” –Christine Eggers: What is a Services-Oriented Architecture? Morning Break: 10-10:30Morning Break: 10-10:30 Session 2 (10:30-12 noon): Building Texas HISSession 2 (10:30-12 noon): Building Texas HIS –David Maidment: Introduction to CUAHSI Water web services and Texas HIS –Tim Whiteaker: Storing and Publishing Water Observations Data Services –Dean Djokic and Christine Eggers: Portal Toolkit for HIS Node –Dean Djokic: Using Arc Hydro and CUAHSI Services

3 Afternoon Schedule Session 3 (1:30-3PM): Consuming Web ServicesSession 3 (1:30-3PM): Consuming Web Services –Darren Baird: Chesapeake Bay Watershed Assessment –Pravin Rana and Charles Kovatch: Web services for NHD –Nawajish Noman: Using NEXRAD –Dean Djokic and Nefi Garza: San Antonio Flood Viewer Afternoon Break: 3-3:30Afternoon Break: 3-3:30 Session 4 (3:30-5PM): Enterprise Level Water and GIS Data SystemsSession 4 (3:30-5PM): Enterprise Level Water and GIS Data Systems –Richard Baldwin: Use of Geoportal Toolkit and WaterML at the National Climatic Data Center –Tony Boston: Australian GeoFabric for water resources management and ingestion of water observations data to construct a set of national water accounts –Klaus Kisters: Open standardization for KISTERS time-series management software

4 A services‐oriented architecture is a concept that applies to large, distributed information systems that have many owners, are complex and heterogeneous, and have considerable legacies from the way their various components have developed in the past (Josuttis, 2007). Services-Oriented Architecture

5 Rainfall Water quantity Groundwater Water Observations Data Meteorology Soil water Water quality

6 HTML as a Web Language Text and Pictures in Web Browser Vermont EPSCoR --> HyperText Markup Language

7 WaterML as a Web Language Discharge of the San Marcos River at Luling, TX June 28 - July 18, 2002 Streamflow data in WaterML language

8 Linking GIS and Water Resources GIS Water Resources

9 Arc Hydro: GIS for Water Resources Arc HydroArc Hydro –An ArcGIS data model for water resources –Arc Hydro toolset for implementation –Framework for linking hydrologic simulation models The Arc Hydro data model and application tools are in the public domain Published in 2002, now in revision for Arc Hydro II

10 WFS and WaterML Observations Data in Time in WaterML Observations Metadata in Space in GML as a Web Feature Service

11 GIS Portal Toolkit


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