nmt_uas_wind_direction
Static vector winds from UAV-mounted Trisonica anemometor (MWE)
Science Score: 44.0%
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Low similarity (6.8%) to scientific vocabulary
Repository
Static vector winds from UAV-mounted Trisonica anemometor (MWE)
Basic Info
Statistics
- Stars: 0
- Watchers: 1
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- Releases: 1
Metadata Files
README.md
Minimal working example of NMT UAS wind correction routine
Developed and tested with python 3.11
Usage
```bash python ./main.py -f /path/to/file
example dataset:
python ./main.py -f ./data/level0.csv ```
Input
CSV file with the following headers (at least):
* Data timestamp ('Timestamp')
* Measured vector winds ('Um', 'Vm', 'Wm') in m/s
* Measured vehicle velocity ('Vx', 'Vy', 'Vz') in m/s
* assuming East-North-Up coordinate system (+'Vx' moving East, +'Vy' moving North, +'Vz' increasing in altitude)
* May not be default coordinate system from Vehicle/UAV
* Temperature ('T') in Celsius
* Pressure ('P') in hPa
* Anemometer Compass heading, Mag. Direction, ('MD') in degrees
* Vehicle/UAV heading ('Yaw') in degrees (optional, but recommended)
Program automatically uses vehicle heading ('Yaw') if available.
To use 'MD' from TWS, don't include 'Yaw' in input csv and/or set uav_heading=False in calculate_vector_winds() and calculate_vector_winds_error() (see main.py and wind_calc.py).
Output
pandas dataframe with
* original data timestamp ('Timestamp')
* seconds into dataset ('Seconds')
* Temperature ('T') in Celsius
* Pressure ('P') in hPa
* Density ('Rho') in kg/m^3
* 1-Sec averaged vector winds ('U_avg', 'V_avg', 'W_avg') in m/s
* 1-Sec averaged horizontal vector winds error ('U_avg_err', 'V_avg_err') in m/s
* 1-Sec averaged horizontal wind speed ('Sc_avg')
* 1-Sec averaged horizontal wind direction ('WD_avg')
* UAS transect normal vector components ('Nx', 'Ny')
* UAS cross wind along transect normal vector and error ('cross_wind', 'cross_wind_err') in m/s
Contact:
jonathan.dooley@student.nmt.edu
Owner
- Name: J. F. Dooley
- Login: jfdoolster
- Kind: user
- Repositories: 1
- Profile: https://github.com/jfdoolster
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: nmt_uas_wind_direction
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Jonathan F
family-names: Dooley
email: jonathan.dooley@student.nmt.edu
affiliation: New Mexico Institute of Mining and Technology
repository-code: 'https://github.com/jfdoolster/nmt_uas_wind_direction.git'
license: GPL-3.0
date-released: '2024-07-01'