Blackpool 2018: UAV Methane Release Sampling and Flux Data

Raw and processed data from two unmanned aerial vehicles (UAVs) sampling a controlled methane release. The dataset includes positional, wind, and mole fraction measurements from UAVs and ground stations, along with derived wind-height profiles and flux quantification results. Adil Shah from the University of Manchester compiled this data for a 2018 field campaign, supporting the journal article 'Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling'.

Use Cases

• Validate UAV-based methane flux quantification methods based on the described controlled release and Gaussian plume inversion technique.
• Analyze correlations between UAV position, wind measurements, and ground-based mole fraction data mentioned in the description.
• Develop or test sensor fusion algorithms for atmospheric data using the combined UAV and stationary instrument measurements.
• Study wind-height profiles derived from the flight survey data for atmospheric boundary layer modeling.

Strengths

• Includes both raw sensor data and processed, corrected measurements for two UAVs, allowing for method validation.
• Contains derived data products like wind-height profiles and flux results, which are ready for analysis.
• Data is linked to a peer-reviewed journal article in Atmospheric Measurement Techniques, providing methodological context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and overall data volume are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Manchester

Collection Method

Data acquired during a controlled methane release field campaign using UAVs (Amanda and Phillipa) equipped with sensors and ground-based instruments.

Time Range

2018

Geography

Blackpool (inferred from the title)