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

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