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Kakadu LIDAR Project 2011 - LiDAR_Point_Clouds, Classified. ELL
LiDAR_Point_Clouds, Classified. ELL have been preocessed to from swaths in to tiles of data. Points are located by Elevation, Latitude and Longitude. The file formats is LAS.
LAS is an industry format created and maintained by the American Society for Photogrammetry and Remote Sensing (ASPRS). LAS is a published standard file format for the inter... morechange of lidar data. It maintains specific information related to lidar data. It is a way for vendors and clients to interchange data and maintain all information specific to that data.
Each LAS file contains metadata of the lidar survey in a header block followed by individual records for each laser pulse recorded. The header portion of each LAS file holds attribute information on the lidar survey itself: data extents, flight date, flight time, number of point records, number of points by return, any applied data offset, and any applied scale factor. The following lidar point attributes are maintained for each laser pulse of a LAS file: x,y,z location information, GPS time stamp, intensity, return number, number of returns, point classification values, scan angle, additional RGB values, scan direction, edge of flight line, user data, point source ID and waveform information.
Each and every lidar point in a LAS file can have a classification code set for it. Classifying lidar data allows you to organize mass points into specific data classes while still maintaining them as a whole data collection in LAS files. Typically, these classification codes represent the type of object that has reflected the laser pulse. Point classification is usually completed by data vendors using semi-automated techniques on the point cloud to assign the feature type associated with each point. Lidar points can be classified into a number of categories including bare earth or ground, top of canopy, and water. The different classes are defined using numeric integer codes in the LAS files. The following table contains the LAS classification codes as defined in the LAS 1.1 standard:
Class code Classification type
0 Never classified
3 Low vegetation
4 Medium vegetation
5 High vegetation
8 Model key
Climate Change Processes
Invasive Species Ecology
21 Oct 2011
30 Jun 2012
Climate and Weather: Ecology
LIDAR Survey of the floodplains within Kakadu National Park conducted by Fugro Spatial Solutions for Geoscience Australia
Fugro Spatial Solutions were awarded a contract by Geoscience Australia to carry out an Aerial LiDAR Survey over the Kakadu. The data will be used to examine the potential impacts of climate change and sea level rise on the West Alligator, South Alligator, East Alligator River systems and other minor areas.
The project area was flight planned using parameters as specified. A FSS aircraft and aircrew were mobilised to site and the project area was captured using a Leica ALS60 system positioned using a DGPS base-station at Darwin airport. The Darwin base-station was positioned by DGPS observations from local control stations. A ground control survey was carried out by FSS surveyors to determine ground positions and heights for control and check points throughout the area. All data was returned to FSS office in Perth and processed. The deliverable datasets were generated and supplied to Geoscience Australia with this metadata information.
Acquisition Start Date: Saturday, 22 October 2011
Acquisition End Date: Wednesday, 16 November 2011
Device Name: Leica ALS60 (S/N: 6145)
Flying Height (AGL): 1409
INS/IMU Used: uIRS-56024477
Number of Runs: 468
Number of Cross Runs: 28
Swath Width: 997
Flight Direction: Non-Cardinal
Swath (side) Overlap: 20
Horizontal Datum: GDA94
Vertical Datum: AHD71
Map Projection: MGA53
Description of Aerotriangulation Process Used: Not Applicable
Description of Rectification Process Used: Not Applicable
Spatial Accuracy Horizontal: 0.8
Spatial Accuracy Vertical: 0.3
Average Point Spacing (per/sqm): 2
Laser Return Types: 4 pulses (1st 2nd 3rd 4th and intensity)
Data Thinning: None
Laser Footprint Size: 0.32
Calibration certification (Manufacturer/Cert. Company): Leica
Limitations of the Data: To project specification
Surface Type: Various
Product Type: Other
Classification Type: C0
Grid Resolution: 2
Distribution Format: Other
Processing/Derivation Lineage: Capture, Geodetic Validation
WMS: Not Applicable?
Data supplied by Dr Renee Bartolo
Environmental Research Institute of the Supervising Scientist. (ERISS )
Fugro Spatial Solutions Pty Ltd
Creative Commons Attribution 3.0 Unported Licence
CSIRO (Australia), Geoscience Australia (Australia)
Anstee, Janet; Botha, Hannelie; Byrne, Guy; Dyce, Peter; Schroeder, Thomas (2013): Kakadu LIDAR Project 2011 - LiDAR_Point_Clouds, Classified. ELL. v2. CSIRO. Data Collection. 102.100.100/13881
All Rights (including copyright) Geoscience Australia 2013.
Although the associated metadata is public, the files (if any) have not been approved for general release. Please phone or email the contact person for this collection to discuss access to the files.
Research Projects Officer
1177.2 Northern NERP - Remote Sensing
There is limited biological data from across the remote and inaccessible northern Australian coastline that can be used to inform bioregional planning processes, development approvals and, ultimately, biodiversity conservation.
Habitat availability and biophysical factors such as water depth, light availability and turbidity are important determina... morents of coastal and marine biodiversity.
Managing the natural resources of the Alligator Rivers Region in Kakadu National Park relies on long-term monitoring of key biophysical parameters in the wetlands and adjacent seas where little is known about biodiversity and ecosystem processes. Remote sensing provides a cost-effective monitoring and assessment tool in this data-sparse region, allowing the detection of changes across habitats, and trends in coastal water quality. less
ALOS vegetation maps and LIDAR data
Detailed vegetation maps from ALOS AVNIR satellite imagery and LIDAR data of the Kakadu National Park floodplains for use in biodiversity assessment and monitoring programs.
ALOS AVNIR & LiDAR