20240910 19305100 1.0 TRUE AWRA Drainage Division Kati Thanda - Lake Eyre Level 1 drainage division drainage basin Australian Water Resource Assessment (AWRA) Topographically defined drainage division for Kati Thanda - Lake Eyre that represent the highest level of the Geofabric nested catchment hierarchy, extracted from AWRA Level 1 dataset. <DIV STYLE="text-align:Left;font-size:12pt"><P STYLE="margin:0 0 7 0;"><SPAN><SPAN>The Geofabric Surface Catchments product provides a hierarchy of nested catchments from drainage divisions at the top level all the way down to a separate catchment for every stream segment in the Geofabric Surface Network product. The top two levels of this hierarchy, Level 1 and Level 2, have been extracted as separate feature classes. Nationally the NCBLevel1DrainageDivision feature class consists of 12 topographically defined drainage divisions and represent the highest level of the catchment hierarchy. At the next level down, the NCBLevel2DrainageBasinGroup represent 191 catchment units approximating the Australian Water Resources Management Committee (AWRC) river basins as described by GA (1997).</SPAN></SPAN></P></DIV> © Commonwealth of Australia (Geoscience Australia) 2026. This product is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcode <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>© Commonwealth of Australia (Geoscience Australia) 2026. This product is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcode</SPAN></P></DIV> 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