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Lander River 1:250 000 topographic map

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Created 13/01/2025

Updated 13/01/2025

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This map is part of the series that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5 km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Each standard map covers an area of 1.5 degrees longitude by 1 degree latitude or about 150 kilometres from east to west and 110 kilometres from north to south. There are about 50 special maps in the series and these maps cover a non-standard area. Typically, where a map produced on standard sheet lines is largely ocean it is combined with its landward neighbour. These maps contain natural and constructed features including road and rail infrastructure, vegetation, hydrography, contours (interval 50m), localities and some administrative boundaries. The topographic map and data index shows coverage of the sheets. Product Specifications Coverage: The series covers the whole of Australia with 513 maps. Currency: Ranges from 1995 to 2009. 95% of maps have a reliability date of 1994 or later. Coordinates: Geographical and either AMG or MGA (post-1993) Datum: AGD66, GDA94, AHD. Projection: Universal Traverse Mercator (UTM) Medium: Paper, flat and folded copies.

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Additional Info

Field Value
Title Lander River 1:250 000 topographic map
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/d881f382-0e76-4a65-9da4-138f922ba5ff
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage {"type": "Polygon", "coordinates": [[[132.0, -21.0], [133.5, -21.0], [133.5, -20.0], [132.0, -20.0], [132.0, -21.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Lander River 1:250 000 topographic map". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/lander-river-1-250-000-topographic-map

Original dataset
Dataset copies

No duplicate datasets found.