Data

Cooper GBA region LiDAR

data.gov.au
Bioregional Assessment Program (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.gov.au/data/dataset/b76f89fa-2b2d-47be-8bac-d027fdf9f61b&rft.title=Cooper GBA region LiDAR&rft.identifier=d581de1d-964f-4141-ad9a-eaf500608bb9&rft.publisher=data.gov.au&rft.description=D581DE1D-964F-4141-AD9A-EAF500608BB9.zip - Data File\n## **Abstract** \nLiDAR (Light Detection and Ranging) data was collected for the Geological and Bioregional Assessment Program by Fugro Australia Land Pty Ltd over two mobilisations. The data was acquired at an average density of 1 point per square metre, processed and compiled as LiDAR Classified Data in LAS 1 km tiles and 1 m grid DEM in ESRI ascii 1 km tiles. The total area of survey is 31,780 km². The data was used to develop a Digital Elevation Model and to determine bathymetry for a two-dimensional hydrodynamic flood inundation model of the Cooper Creek floodplain.\n\n\n## **Attribution** \nGeological and Bioregional Assessment Program\n\n\n## **History** \nLiDAR data was acquired by Fugro Australia Land Pty Ltd over two mobilisations. The first mobilisation was flown from 20 March - 4 April 2019 with an aircraft equipped with a Riegl LMS Q780 LiDAR system. The second mobilisation was flown from 6 - 17 October 2019 with an aircraft equipped with a Riegl LMS Q1560 LiDAR system. Nominal flying height was 2800 mAGL with a swath width of 3200 m.\r\nProcessing steps:\r\n• Project Planning\r\n• Aircrew briefing\r\n• Acquisition as per requirements of dry Season\r\n• Field data QA for integrity and completeness\r\n• Downloading raw data\r\n• QA Raw data\r\n• GNSS-IMU Coupled Solution\r\n• Riprocess processing\r\n• Geodetic Validation Flight Line matching\r\n• Ground Filter\r\n• LiDAR data Classification\r\n• Product Generation LiDAR Derivates\r\n• QA of data\r\n• Delivery of Data and reports&rft.creator=Bioregional Assessment Program&rft.date=2023&rft.coverage=POLYGON ((0 0, 0 0, 0 0, 0 0))&rft_rights=Creative Commons CC-BY 4.0&rft_subject=Digital Elevation Model&rft_subject=REMOTE SENSING Lidar&rft_subject=WATER Bathymetry&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details
Creative-commons-cc-by

Creative Commons CC-BY 4.0

Brief description


## **Abstract**
LiDAR (Light Detection and Ranging) data was collected for the Geological and Bioregional Assessment Program by Fugro Australia Land Pty Ltd over two mobilisations. The data was acquired at an average density of 1 point per square metre, processed and compiled as LiDAR Classified Data in LAS 1 km tiles and 1 m grid DEM in ESRI ascii 1 km tiles. The total area of survey is 31,780 km². The data was used to develop a Digital Elevation Model and to determine bathymetry for a two-dimensional hydrodynamic flood inundation model of the Cooper Creek floodplain.


## **Attribution**
Geological and Bioregional Assessment Program


## **History**
LiDAR data was acquired by Fugro Australia Land Pty Ltd over two mobilisations. The first mobilisation was flown from 20 March - 4 April 2019 with an aircraft equipped with a Riegl LMS Q780 LiDAR system. The second mobilisation was flown from 6 - 17 October 2019 with an aircraft equipped with a Riegl LMS Q1560 LiDAR system. Nominal flying height was 2800 mAGL with a swath width of 3200 m.
Processing steps:
• Project Planning
• Aircrew briefing
• Acquisition as per requirements of dry Season
• Field data QA for integrity and completeness
• Downloading raw data
• QA Raw data
• GNSS-IMU Coupled Solution
• Riprocess processing
• Geodetic Validation Flight Line matching
• Ground Filter
• LiDAR data Classification
• Product Generation LiDAR Derivates
• QA of data
• Delivery of Data and reports

Full description

D581DE1D-964F-4141-AD9A-EAF500608BB9.zip - Data File

This dataset is part of a larger collection

Click to explore relationships graph

Spatial Coverage And Location

text: POLYGON ((0 0, 0 0, 0 0, 0 0))

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857