Validation data for wind speed and wind direction measurements with quadcopter drones

• Main Authors: Hann, Richard, Meier, Kilian, Garreau, Arthur
• Format: Other/Unknown Material
• Language: unknown
• Published: DataverseNO 2022
• Subjects: Engineering; drone; wind speed; validation; atmospheric measurements; Svalbard
• Online Access: https://doi.org/10.18710/AFDYLS

This dataset was established in the context of the Master Thesis of Arthur Garreau and Kilian Meier in 2020 and 2021. And was published with the resulting paper: Kilian Meier, Richard Hann, Jan Skaloud, and Arthur Garreau: "Wind Estimation with Multirotor UAVs", Atmosphere 2022, 13(4), 551; https://doi.org/10.3390/atmos13040551 The dataset contains flight logs from DJI Phantom 4 drones flown in Switzerland and Norway, as well as corresponding weather data: wind, temperature, pressure and humidity. There are a total of 75 flights spread over 13 days (56 flights in Switzerland and 19 flights in Norway). Flight locations are in Adventadlen at 78°12’10.0"N15°49’41.0"E and on the EPFL campus 46°31’17.0"N 6°34’02.5"E. Flight logs are labeled by location (EPFL and Svalbard) and date. Each folder represents a given flight day and is name respecting the following naming convention "LocationYYYYMMDD". Each folder contains two subfolders: "FLIGHT" and "WEATHER". They contain respectively, flight data and weather data. The "FLIGHT" folder contains the original raw DJI flight log (.DAT, proprietary) and the extracted human readable data as a CSV file. This data was extracted using [DatCon](https://datfile.net/index.html). The "WEATHER" folder contains weather sensor data in human readable text form (.txt, .dat). The exact content depends on the available sensors. The "DATA_OVERVIEW.xlsx" file contains a table describing each flight (start time, end time, path to data, etc). For more details, please consult the paper written by Meier et al. https://doi.org/10.3390/atmos13040551. More information and related thesis to be found on https://folk.ntnu.no/richahan/. GitHub repository https://github.com/meierkilian/WEMUAV