Contours are virtual imaginary lines on the ground, joining points of an equal elevation in relation to the Australian Height Datum (AHD). It is a line feature class of the NSW Digital Topographic Database ( DTDB), within the Physiography theme. A contour can be a standard contour, depression contour or an ancillary contour. The Elevation attribute is defined as the distance along the vertical ( Read More »
Contours are virtual imaginary lines on the ground, joining points of an equal elevation in relation to the Australian Height Datum (AHD). It is a line feature class of the NSW Digital Topographic Database ( DTDB), within the Physiography theme. A contour can be a standard contour, depression contour or an ancillary contour. The Elevation attribute is defined as the distance along the vertical (direction of gravity) from the geoid (approximately mean sea level) to a point. The elevation range is -4 m to 2220 m. There is no overall accuracy reported in the database, however accuracy of the individual feature instances of each feature class can be found in the database tables. The currency of the feature instances in this dataset can be found in “feature reliability date” or “attribute reliability date” attributes. All feature instances in this class are attributed with a planimetric accuracy value. It is expected that the 90% of well-defined points with the same planimetric accuracy are within 0.5mm of that map scale. Depending on the capture source, capture method, digital update and control point upgrade, every feature instance reported has a positional accuracy within the range of 1m - 100m. For detailed definitions on all feature classes and attributes, refer to the DTDB Data Dictionary.This dataset is available for download through the clip & Ship application in LPI’s Online Shop. The download link is provided in the distribution section of this metadata statement. Some of the production related attributes have been removed from this dataset so as to simplify the data schema and improve data delivery performance. Based on the area of interest this feature class may or may not be present.
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