For download, use the Download Request form below, but perhaps you may first consider to make a donation that will enable us to continue our work into the future.

Download Request

Fill in your Email Address and Name and give us a short description of why you would like to download the data.

Make sure you have ticked the box(es) for the desired area(s) and then submit.

Tick desired product(s)

It should be obvious, but needs to be said:

All data is ARA Copyright.

If you use the data for any purpose, there has to be a reference
to ARA - Airborne Research Australia.

These data cannot be offered for sale in any form or manner.

The data are made available "as is" - without any warranty of any type.

By downloading this data, you confirm that you will only use this data under the Creative Commons BY-NC-SA 4.0 License.

For legal details, see https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

For file formats, further descriptions, comments and (free) software recommendations to view the data, click here.

Currently available products and data sets

Brukunga Area (part only) 8 & 15 Jan 2020:

         

purple:

JPG, KMZ - 8.5cm RGB-mosaic - 432MB/332MB

red, green, brown, dark blue, black:

LAZ - Lidar pointclouds from 5 random overpasses
                                                         -  257MB (5 files)

JPG, KMZ - ​hyperspectral CIR from 5 random
                              overpasses - 28MB/22MB 5 files)

Bushland Park (part only) 8 & 15 Jan 2020:

light blue:

JPG - (Northern section) - 7cm RGB mosaic - 104MB
JPG - (Southern section) - 7cm RGB mosaic - 98MB
KMZ - 7cm RGB mosaic - 332MB

 

red, green, dark blue:

KMZ -  Lidar 25cm DSM from 3 random overpasses  - 14MB
KMZ - Lidar 25cm DTM from 3 random overpasses - 14MB
KMZ - hyperspectral CIR from 3 random overpasses - 3MB
LAZ - Lidar pointcloud from 3 random overpasses - 125MB

Bushland Park (full) 26 Jan 2020:

         

purple:

JPG - 8.4cm RGB-mosaic - 1.53GB (9 tiles)

KMZ - 8.4cm RGB-mosaic - 1.50GB (9 tiles)

yellow:

LAZ - RGB-coloured Lidar pointcloud -  1.86GB (6 tiles)

Gumeracha Southeast (full)  8 Jan 2020:

purple:

JPG, KMZ - 8cm RGB mosaic - 564MB/421MB (3 tiles)

yellow:

LAZ - RGB-coloured Lidar pointcloud - 1.90GB (3 tiles)

JPG, KMZ - CIR-composite - 64MB/55MB

Inverbrackie (part only) 8 & 15 Jan 2020:

         

purple:

JPG, KMZ - 7.7cm RGB-mosaic - 545MB/414MB (3 files)

red, green, dark blue:

LAZ - Lidar pointclouds from 3 random overpasses -  243MB (3 files)

JPG, KMZ - hyperspectral CIR from 3 random overpasses - 19MB/15MB (3 files)

Kenton Valley (full) 26 Jan 2020:

purple:

JPG - 7cm RGB mosaic - 1.81GB (9 files)

KMZ - 7cm RGB mosaic - 1.94GB (9 files)

yellow:

LAZ - RGB-coloured Lidar pointcloud - 1.03GB (3 files)

Kenton Valley (part only) 15 Jan 2020:

red, green, brown, dark blue:

 LAZ - Lidar pointclouds from 4 random overpasses - 61MB

Lobethal West (part only) 8 & 15 Jan 2020:

light blue:

JPG - 8cm RGB mosaic - 601MB (3 files)

KMZ - 8cm RGB mosaic - 442MB

red, green, brown, dark blue:

 LAZ - Lidar pointclouds from 3 random overpasses - 236MB
 



Lobethal West (full) 26 Jan 2020:

purple:

JPG - 8cm RGB mosaic - 1.68GB (5 files)

KMZ - 8cm RGB mosaic - 1.79GB (5 files)

yellow:

LAZ - RGB-coloured Lidar pointcloud - 2.30GB (5 files)

Porter Scrub (part only) 15 Jan 2020:

light blue:

JPG - 6cm RGB mosaic - 481MB

KMZ - 6cm RGB mosaic - 345MB

red, green, brown, dark blue:

 LAZ - Lidar pointclouds from 4 random overpasses - 61MB
 



Porter Scrub (full) 26 Jan 2020:

purple:

JPG - 7.7cm RGB mosaic - 1.64GB (5 files)

KMZ - 7.7cm RGB mosaic - 1.74GB (5 files)

yellow:

LAZ - RGB-coloured Lidar pointcloud - 2.77GB (5 files)

Woodside (part only) 8 & 15 Jan 2020:

light blue:

JPG - 8.5cm RGB mosaic - 214MB

KMZ - 8.5cm RGB mosaic - 164MB

red, green, dark blue:

 LAZ - Lidar pointclouds from 3 random overpasses - 134MB
 



Woodside (full) 26 Jan 2020:

purple:

JPG - 7.9cm RGB mosaic - 1.15GB (3 files)

KMZ - 7.9cm RGB mosaic - 1.00GB (3 files)

yellow:

LAZ - RGB-coloured Lidar pointcloud - 1.20GB (3 files)

JPG - 20cm Lidar DSM & DTM - 167MB

KMZ - 20cm Lidar DSM & DTM - 167MB

File Formats

Google Earth kmz-files -  to be loaded into Google Earth for viewing.

Google Earth is free and can be downloaded from https://www.google.com/earth/versions/

jpg-files - can be loaded/viewed in image viewing programs; zip-file contains geo-referencing info.

Some jpgs are available as zipped files - unzip before viewing

Lidar laz-files - require a pointcloud viewer

Unless you have your own preferences, you may want to try DispLAZ (http://c42f.github.io/displaz/)

 

Description of and comments to available products

The greyscale images for the Lidar DSM and DTM are **not** elevation files, but only geo-referenced images for viewing. If you need the actual elevation (TIF) files, please contact us via bushfire@airborneresearch.org.au - or use Martin Isenburg's LAStools utilities or other suitable software.

The grey scale images were rendered using RVT - Relief Visualization Toolbox Version 2.0

Kokalj, Žiga, Klemen Zakšek and Krištof Oštir. 2011. Application of Sky-View Factor for the Visualization of Historic

Landscape Features in Lidar-Derived Relief Models. Antiquity 85 (327): 263–273.

Zakšek, Klemen, Krištof Oštir and Žiga Kokalj. 2011. Sky-View Factor as a Relief Visualization Technique. Remote Sensing 3: 398–415.

On the hyperspectral CIR-images (Colour InfraRed), one can often see "striping" between the flightlines. This "striping" can be eliminated, but that's a time-consuming process and at this stage we decided to leave it as is, because the information contained in these images would not change - the images would just look "nicer".

CIR-images show the health of vegetation in red colours - the brighter the red, the healthier it is. Browns tend to show dried foliage, blacks and greys are burnt. Our CIR-images were generated from our VNIR hyperspectral pushbroom line scanner, a SPECIM EAGLE II, configured to deliver the best SNR by binning down from 495 down to 128 bands between 400nm to 1000nm. The raw EAGLE data was processed with ARA in-house software and instrument calibrations through to calibrated at-sensor radiances and has not yet been corrected for atmospheric, topographic or other illumination effects. 

The EAGLE is paired with an OXTS RT4003 L1/L2 dual antenna MEMS-based attitude and heading system. The data from the OXTS RT4003 system was post-processed using OXTS software.

Georeferencing of the hyperspectral data at this stage has only been done by projection onto SRTM elevations and is not at a final level of precision.

On the flight of 13 April 2020, the GPS/IMU unit developed a fault and therefore the hyperspectral data from that day are imperfectly geo-referenced. We decided to still offer the somewhat imperfectly georeferenced CIR-imagery for download, because some of them are truly spectacular and are showing the first phase of re-growth. Some flightlines from that day were manually post-processed to improve the imperfect georeferencing, but this is a very labour-intense task. The unit has been fixed and by now perfectly again.

If you would like to dive further into the hyperspectral data, please contact us and we'd be pleased to discuss and share it - the full hyperspectral data has been processed to individual gridded flightlines in .BSQ-format but these are large files requiring suitable software for further analysis and processing (such as ENVI and ATCOR or similar) and so we are not distributing these files in the same way as other data.

All Lidar data was collected using a Riegl Q680i-S small-footprint laser scanner coupled to a NOVATEL SPAN tactical grade IMU/GPS  system that includes a LITEF ISA fibre-based gyro. The LIdar data was initally processed into sdc-files by the RiAnalyze software. LAZ-files were then generated by bringing together the sdc-data with the navigation data from the NOVATEL SPAN system. The LAZ-files were then further processed using a combination of Martin Isenburg's LAStools utilities and the GlobalMapper software. Visualisations were generated using POTREE; animations were generated using the VEESUS ARENA4 software.

If you would like to work with the raw or intermediate Lidar data, or even with the full-waveform data, please contact us.

All RGB images were taken by a CANON EOS Mk4 DSLR fitted with a CANON EF24mm f/1.4L II USM lens and initially processed by the DxO-Software using standard settings. The RGB-mosaics were generated using the Agisoft MetaShape software.

If you would like to get the raw images from the RGB-camera, please contact us.

WHO WE ARE

CONTACT US

OUR MAIN SPONSORS

Hackett Foundation Adelaide

Maxim Foundation, Lockhart River

Australian Research Council

Sir Ross and Sir Keith Smith Fund

Joyce and Don Schultz

Flinders University

For information:

info@airborneresearch.org.au

Director:      Andrew J. McGrath

Chief Scientist:   Jorg M. Hacker

LINKS  & THINGS

ARA is a member of:

   EUFAR

European Facility for

Airborne Research

 

  NAERS

Network of Airborne Environmental Research Scientists

Airborne Research Australia

ABN 60 604 313 484

© ARA 2020

  
... probing the environment using the least intrusive
                         and most cost-efficient technologies ...