Stormwater Pipe Locations has been compiled from a number of Local Government datasets (Burnie, Launceston, Kingborough, Glenorchy, Clarence, Hobart and Devonport). Datasets converted, merged and reprojected (where necessary) into GDA using Feature Manipulation Engine (FME) before being stored in an ESRI ArcSDE environment.

The Stormwater Nodes dataset has been derived by updating the 2005 dataset with data obtained from Local Government Councils. Not all council areas have been updated since 2005. Councils updates in the 2009 dataset: Burnside, Charles Sturt, Gawler, Holdfast Bay, Mitcham, Mt Barker, Norwood Payneham & St Peters, Playford, Port Adelaide Enfield, Salisbury, Tea Tree Gully, West Torrens.

Stormwater, wastewater, and drinking water data from a variety of sources is being compiled. Stormwater data has (is) been collected for many urbanized town and village centers statewide. Wastewater data is available for some towns and is currently being developed more fully as data becomes available. Drinking water data is rarely available. Point, line, and polygon data was collected and compiled through field observations, municipal member knowledge, ortho-photo interpretation, digitization of georeferenced town plans and record drawings, and state stormwater permit plans. Accuracy of all data is for planning purposes and field verification is at the users discretion. Subwatershed Drainage systems were mapped to establish the connectivity of the stormwater features, and to show where runoff from impervious surfaces in various subwatersheds within an urbanized area eventually enters the receiving water. Subwatershed boundaries were drawn by hand using a variety of elevation data and corelated to each towns Stormwater Infrastructure report.

Stormwater, wastewater, and drinking water data from a variety of sources is being compiled. Stormwater data has (is) been collected for many urbanized town and village centers statewide. Wastewater data is available for some towns and is currently being developed more fully as data becomes available. Drinking water data is rarely available. Point, line, and polygon data was collected and compiled through field observations, municipal member knowledge, ortho-photo interpretation, digitization of georeferenced town plans and record drawings, and state stormwater permit plans. Accuracy of all data is for planning purposes and field verification is at the users discretion. Subwatershed Drainage systems were mapped to establish the connectivity of the stormwater features, and to show where runoff from impervious surfaces in various subwatersheds within an urbanized area eventually enters the receiving water. Subwatershed boundaries were drawn by hand using a variety of elevation data and corelated to each towns Stormwater Infrastructure report.

Stormwater Network at City of Port Adelaide Enfield. 4 map layers comprising of Conduits, Connectors and Wetlands. This data is presented through the Council's own website for open geospatial data. Formats available are SHP, KML, GeoJson and WMS. (all in geographic latitude and longitude except the Shapefile which is GDA 1994 MGA Zone 54)

This data has been collected as part of a larger project by the City of Austin's Watershed Protection and Development Review Department to inventory its drainage infrastructure and create a GIS to store this information. The project includes an internal team developing a GIS based on record documents and an external team locating ground level appurtenances using GPS field collection units. The data in this data set represents the former.

Sewer Nodes has been compiled from a number of TasWater supplied datasets (south, north and north-west regions). Datasets converted, merged and reprojected (where necessary) into GDA using Feature Manipulation Engine (FME) before being stored in an ESRI ArcSDE environment.

This data has been collected as part of a larger project by the City of Austin's Watershed Protection and Development Review Department to inventory its drainage infrastructure and create a GIS to store this information. The project includes an internal team developing a GIS based on record documents and an external team locating ground level appurtenances using GPS field collection units. The data in this data set represents the former.

The data being collected is to be used for several purposes: - Hydraulic/hydrologic modeling input - Work Order Management System integration - Map book production - Mobile redlining/correction submission tools