From Geoscience Australia
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L0107 SydneySouth

ARCHIVED

Created 13/01/2025

Updated 13/01/2025

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The coverage of this dataset is over the SydneySouth region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from an ALS50 ( Airborne Laser Scanner ) sensor . The processed data has been manually edited to achieve LPI classification level 3 whereby the ground class contains minimal non-ground points such as vegetation , water , bridges , temporary features , jetties etc . Purpose: To provide fit-for-purpose elevation data for use in applications related to coastal vulnerability assessment, natural resource management ( especially water and forests) , transportation and urban planning . Additional lineage information: This data has an accuracy of 0.9m ( 95% confidence ) vertical and 0.8m ( 95% confidence ) horizontal with a minimum point density of one laser pulse per square metre . For more information on the data's accuracy, refer to the lineage provided in the data history .

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Additional Info

Field Value
Title L0107 SydneySouth
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/97b8fb33-4626-43d3-a91e-0dfa0da1133e
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 20/04/2018
Geospatial Coverage {"type": "Polygon", "coordinates": [[[150.893209, -34.252448], [151.253235, -34.252448], [151.253235, -33.980668], [150.893209, -33.980668], [150.893209, -34.252448]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "L0107 SydneySouth". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/l0107-sydneysouth

Original dataset
  • ARCHIVED

    L0107 SydneySouth

    Geoscience Australia

    The coverage of this dataset is over the SydneySouth region . The C3 LAS data set contains point data in LAS 1.2 format sourced from a LiDAR ( Light Detection and Ranging ) from...

    Dataset updated: 13/01/2025

Dataset copies

No duplicate datasets found.