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Part 1: Document Description
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Citation |
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Title: |
Validation data for wind speed and wind direction measurements with quadcopter drones |
Identification Number: |
doi:10.18710/AFDYLS |
Distributor: |
DataverseNO |
Date of Distribution: |
2022-04-04 |
Version: |
1 |
Bibliographic Citation: |
Hann, Richard; Meier, Kilian; Garreau, Arthur, 2022, "Validation data for wind speed and wind direction measurements with quadcopter drones", https://doi.org/10.18710/AFDYLS, DataverseNO, V1 |
Citation |
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Title: |
Validation data for wind speed and wind direction measurements with quadcopter drones |
Identification Number: |
doi:10.18710/AFDYLS |
Authoring Entity: |
Hann, Richard (NTNU – Norwegian University of Science and Technology) |
Meier, Kilian (EPFL – École Polytechnique Fédérale de Lausanne) |
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Garreau, Arthur (University Centre in Svalbard) |
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Producer: |
NTNU – Norwegian University of Science and Technology |
Distributor: |
DataverseNO |
Distributor: |
NTNU – Norwegian University of Science and Technology |
Access Authority: |
Hann, Richard |
Depositor: |
Hann, Richard |
Date of Deposit: |
2022-02-10 |
Holdings Information: |
https://doi.org/10.18710/AFDYLS |
Study Scope |
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Keywords: |
Engineering, drone, wind speed, validation, atmospheric measurements |
Abstract: |
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 |
Kind of Data: |
Validation data |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Kilian Meier, Richard Hann, Jan Skaloud, and Arthur Garreau: "Wind Estimation with Multirotor UAVs", Atmosphere 2022, 13(4), 551; |
Identification Number: |
10.3390/atmos13040551 |
Bibliographic Citation: |
Kilian Meier, Richard Hann, Jan Skaloud, and Arthur Garreau: "Wind Estimation with Multirotor UAVs", Atmosphere 2022, 13(4), 551; |
Label: |
00_README.txt |
Notes: |
text/plain |
Label: |
01_DATA_OVERVIEW.csv |
Notes: |
text/csv |
Label: |
01_DATA_OVERVIEW.xlsx |
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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02_EPFL_FLIGHTS.zip |
Text: | |
Notes: |
application/zip |
Label: |
03_SVALBARD_FLIGHTS.zip |
Text: | |
Notes: |
application/zip |