Data

Uncrewed Aircraft System (UAS) / drone RGB and multispectral orthomosaic and raw data - Calperum - SASRIV0001 - May 2022

Terrestrial Ecosystem Research Network
Lucieer, Arko ; Sparrow, Ben ; Sivanandam, Poornima ; Tokmakoff, Andrew ; Leitch, Emrys ; Pink, Lachlan ; Gellie , Nicholas
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://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/bc734429-d096-46f9-a536-7555903a285d&rft.title=Uncrewed Aircraft System (UAS) / drone RGB and multispectral orthomosaic and raw data - Calperum - SASRIV0001 - May 2022&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/bc734429-d096-46f9-a536-7555903a285d&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASRIV0001. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).Data collection: - Flight parameters * Flight altitude (m): 80 * Flight speed (m/s): 10 * Forward and side overlaps (%): 80 * Target Surface to Takeoff Point (m): 0 * Margin (m): 50 - Camera/sensor settings * Zenmuse P1 - M mode, Auto ISO, Aperture: f/5.6, Shutter speed: 1/1000 s, White Balance: Sunny * MicaSense - Capture mode: Timer, Interval (s): 1, Target Altitude (m): 80, Target Altitude Threshold (m): 20, Manual Exposure: disable - DRTK-2 base station location on plot: South West corner - Clouds/Wind conditions: Partially cloudy, light breeze. Data processing: P1 RGB imagery were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. MicaSense image positions (navigation grade accuracy) were interpolated using image timestamp and RGB image coordinates. Images were processed in Agisoft Metashape. MicaSense Calibrated Reflectance Panel (CRP) images were used to calibrate reflectance. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (6 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. These steps are documented in the following documents: Matrice 300 RTK UAS RGB and Multispectral Data Collection Protocol, Matrice 300 RTK UAS RGB and Multispectral Data Processing Protocol.&rft.creator=Lucieer, Arko &rft.creator=Sparrow, Ben &rft.creator=Sivanandam, Poornima &rft.creator=Tokmakoff, Andrew &rft.creator=Leitch, Emrys &rft.creator=Pink, Lachlan &rft.creator=Gellie , Nicholas &rft.date=2022&rft.edition=1&rft.coverage=Calperum plot SASRIV0001&rft.coverage=northlimit=-34.0377929807276; southlimit=-34.0368682204965; westlimit=140.755867718183; eastLimit=140.756972272012; projection=EPSG:7854&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=TERN services are provided on an as-is and as available basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=environment&rft_subject=LANDSCAPE ECOLOGY&rft_subject=Landscape Ecology&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=DJI Matrice 300 RTK&rft_subject=DJI Zenmuse P1&rft_subject=MicaSense RedEdge-MX Dual&rft_subject=RGB values (Unitless)&rft_subject=Unitless&rft_subject=Relative reflectance value (Unitless)&rft_subject=< 1 meter&rft_subject=one off&rft.type=dataset&rft.language=English Access the data
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TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

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Ph: +61 7 3365 9097

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Brief description

This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASRIV0001. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs.

Details of the data collection settings and processing workflow are described in further sections.


Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

Lineage

Data collection: - Flight parameters * Flight altitude (m): 80 * Flight speed (m/s): 10 * Forward and side overlaps (%): 80 * Target Surface to Takeoff Point (m): 0 * Margin (m): 50 - Camera/sensor settings * Zenmuse P1 - M mode, Auto ISO, Aperture: f/5.6, Shutter speed: 1/1000 s, White Balance: Sunny * MicaSense - Capture mode: Timer, Interval (s): 1, Target Altitude (m): 80, Target Altitude Threshold (m): 20, Manual Exposure: disable - DRTK-2 base station location on plot: South West corner - Clouds/Wind conditions: Partially cloudy, light breeze. Data processing: P1 RGB imagery were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. MicaSense image positions (navigation grade accuracy) were interpolated using image timestamp and RGB image coordinates. Images were processed in Agisoft Metashape. MicaSense Calibrated Reflectance Panel (CRP) images were used to calibrate reflectance. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (6 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. These steps are documented in the following documents: Matrice 300 RTK UAS RGB and Multispectral Data Collection Protocol, Matrice 300 RTK UAS RGB and Multispectral Data Processing Protocol.

Notes

Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Purpose
This data was collected as part of a regular drone field survey by the TERN Ecosystem Surveillance team in collaboration with UTAS. Data collection settings for the M300 drone system were tested and updated through this field campaign.

Created: 2022-05-16

Issued: 2022-07-15

Modified: 2014-07-14

Data time period: 2022-05-16 to 2022-05-16

This dataset is part of a larger collection

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140.75697,-34.03779 140.75697,-34.03687 140.75587,-34.03687 140.75587,-34.03779 140.75697,-34.03779

140.7564199951,-34.037330600612

text: Calperum plot SASRIV0001

Subjects
< 1 meter | DJI Matrice 300 RTK | DJI Zenmuse P1 | Ecological Applications | Environmental Sciences | LANDSCAPE ECOLOGY | Landscape Ecology | MicaSense RedEdge-MX Dual | RGB values (Unitless) | Relative reflectance value (Unitless) | Unitless | environment | one off |

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uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/bc734429-d096-46f9-a536-7555903a285d

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