Data

Processed four-site QTFM Gen 2 sensor-AGL height-response dataset, Vietnam

Name: Processed four-site QTFM Gen 2 sensor-AGL height-response dataset, Vietnam
Published: 2026

BlueCap Minerals Pty Ltd

Musinov, Andrew ; Podgorbuntsev, Eugene ; Gornov, Roman

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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5281/zenodo.22054325&rft.title=Processed four-site QTFM Gen 2 sensor-AGL height-response dataset, Vietnam&rft.identifier=10.5281/zenodo.22054325&rft.publisher=Zenodo&rft.description=Sensor height is part of the observation geometry of a magnetic survey. This dataset contains processed, azimuth-balanced total magnetic field estimates from four ascending vertical profiles acquired at agricultural-field sites in Xã Bác Ái Tây, Khánh Hòa, Vietnam, on 11 March 2026. A QuSpin QTFM Gen 2 was installed in a freely rotating tubular bird suspended 20 m below a geophysical drone helicopter. At each nominal sensor height from 25.0 to 50.0 m above ground level (AGL), in 0.5 m increments, the bird completed 8–12 slow yaw turns. Bird-mounted range LiDAR measured sensor AGL, a stationary QTFM Gen 2 monitored temporal variation, acquisition was nominally 60 Hz, and wind did not exceed 2 m/s. The collection contains 204 processed site-height conditions; magnetic field values are expressed in nanotesla (nT) and heights in metres (m). Relative to nominal 35 m, the processed field differed by +15.8 to +26.7 nT at 25 m and by −6.2 to −10.3 nT at 50 m. The 25–50 m response span was 22.0–37.0 nT, the local gradient near 35 m was −0.78 to −1.42 nT/m, and interpolation to actual LiDAR AGL showed a maximum absolute departure of 0.8 nT within the full physical corridor 34.5–35.5 m. A deterministic inverse-cube benchmark, calculated as A35(35/h)^3 rather than regression-fitted, matched the processed anomaly with RMSE 0.043–0.100 nT. The response magnitude differed among sites, so the dataset does not support one universal scalar nT/m height correction.Four Vietnam field profiles quantify the sensor-AGL response of a suspended QuSpin QTFM Gen 2 and show why physical height-corridor control matters in drone survey and airborne geophysics.The collection provides an auditable field-scale reference for acquisition planning and quality control in drone magnetic surveys. It shows that broad physical sensor-AGL variation can create non-geological differences large enough to affect line acceptance, levelling and later modelling, while a controlled 34.5–35.5 m corridor limits this acquisition risk in the four observed profiles.The public curves are final condition-level estimates produced by BlueCap’s proprietary multi-channel processing pipeline; they are not raw magnetometer traces. Orientation, motion, temporal and platform-related components in the observations were removed or modelled before the height response was calculated. The inverse-cube relationship was not imposed during processing: it was evaluated only after the processed condition estimates had been finalised. The public package contains the processed workbook, publication figures, figure-generation code and checksums. It does not contain raw 60 Hz QTFM series, yaw/IMU, LiDAR or ground-reference traces, or turn-level harmonic diagnostics. The 51 height conditions at each site are dependent observations within one ascending profile, not independent repeats. The dataset does not directly quantify spatial continuation error, lateral map displacement, inversion bias or drill-target error; those outcomes require coincident multi-height horizontal lines or grids.&rft.creator=Musinov, Andrew &rft.creator=Podgorbuntsev, Eugene &rft.creator=Gornov, Roman &rft.date=2026&rft.edition=3.0.0&rft.relation=10.31223/X5T789&rft.coverage=northlimit=12.0162472222; southlimit=11.9998722222; westlimit=108.8143722222; eastlimit=108.8209555556; projection=WGS84&rft.coverage=Four agricultural-field sites near Bậc Ray Một and Phước Bình, Xã Bác Ái Tây, Khánh Hòa, Vietnam&rft_rights=Data, documentation and figures are licensed under Creative Commons Attribution 4.0 International. https://creativecommons.org/licenses/by/4.0/&rft_rights=Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/&rft_rights=Figure-generation code is licensed under the MIT Licence. https://opensource.org/license/mit/&rft_rights=MIT Licence https://opensource.org/license/mit/&rft_subject=Applied geophysics&rft_subject=Magnetism and Palaeomagnetism&rft_subject=EARTH SCIENCES&rft_subject=GEOPHYSICS&rft_subject=Geodesy&rft_subject=ENGINEERING&rft_subject=GEOMATIC ENGINEERING&rft_subject=drone magnetometry&rft_subject=drone survey&rft_subject=airborne geophysics&rft_subject=scalar atomic magnetometer&rft_subject=sensor height above ground level&rft_subject=magnetic height response&rft_subject=QuSpin QTFM Gen 2&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/

MIT Licence
https://opensource.org/license/mit/

Data, documentation and figures are licensed under Creative Commons Attribution 4.0 International.
https://creativecommons.org/licenses/by/4.0/

Figure-generation code is licensed under the MIT Licence.
https://opensource.org/license/mit/

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Brief description

Four Vietnam field profiles quantify the sensor-AGL response of a suspended QuSpin QTFM Gen 2 and show why physical height-corridor control matters in drone survey and airborne geophysics.

Full description

Sensor height is part of the observation geometry of a magnetic survey. This dataset contains processed, azimuth-balanced total magnetic field estimates from four ascending vertical profiles acquired at agricultural-field sites in Xã Bác Ái Tây, Khánh Hòa, Vietnam, on 11 March 2026. A QuSpin QTFM Gen 2 was installed in a freely rotating tubular bird suspended 20 m below a geophysical drone helicopter. At each nominal sensor height from 25.0 to 50.0 m above ground level (AGL), in 0.5 m increments, the bird completed 8–12 slow yaw turns. Bird-mounted range LiDAR measured sensor AGL, a stationary QTFM Gen 2 monitored temporal variation, acquisition was nominally 60 Hz, and wind did not exceed 2 m/s. The collection contains 204 processed site-height conditions; magnetic field values are expressed in nanotesla (nT) and heights in metres (m). Relative to nominal 35 m, the processed field differed by +15.8 to +26.7 nT at 25 m and by −6.2 to −10.3 nT at 50 m. The 25–50 m response span was 22.0–37.0 nT, the local gradient near 35 m was −0.78 to −1.42 nT/m, and interpolation to actual LiDAR AGL showed a maximum absolute departure of 0.8 nT within the full physical corridor 34.5–35.5 m. A deterministic inverse-cube benchmark, calculated as A35(35/h)^3 rather than regression-fitted, matched the processed anomaly with RMSE 0.043–0.100 nT. The response magnitude differed among sites, so the dataset does not support one universal scalar nT/m height correction.

Significance statement

The collection provides an auditable field-scale reference for acquisition planning and quality control in drone magnetic surveys. It shows that broad physical sensor-AGL variation can create non-geological differences large enough to affect line acceptance, levelling and later modelling, while a controlled 34.5–35.5 m corridor limits this acquisition risk in the four observed profiles.

Lineage

The public curves are final condition-level estimates produced by BlueCap’s proprietary multi-channel processing pipeline; they are not raw magnetometer traces. Orientation, motion, temporal and platform-related components in the observations were removed or modelled before the height response was calculated. The inverse-cube relationship was not imposed during processing: it was evaluated only after the processed condition estimates had been finalised. The public package contains the processed workbook, publication figures, figure-generation code and checksums. It does not contain raw 60 Hz QTFM series, yaw/IMU, LiDAR or ground-reference traces, or turn-level harmonic diagnostics. The 51 height conditions at each site are dependent observations within one ascending profile, not independent repeats. The dataset does not directly quantify spatial continuation error, lateral map displacement, inversion bias or drill-target error; those outcomes require coincident multi-height horizontal lines or grids.

Created: 2026-03-11 to 2026-03-11

Issued: 2026

Data time period: 2026-03-11 to 2026-03-11

This dataset is part of a larger collection

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text: Four agricultural-field sites near Bậc Ray Một and Phước Bình, Xã Bác Ái Tây, Khánh Hòa, Vietnam

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Local : bluecap-qtfm-agl-height-response-v3
DOI : 10.5281/ZENODO.22054325