This repository is used for processing radiometric .JPG files into .tif
files, while correcting for atmospheric and flight conditions. It simply provides
the scripts to apply the therRmalUAV package, and is intended for student of Selkirk Collage BC
to process UAV-based thermal images.
Clone the repository:
git clone https://github.com/philipptandler/thermal-image-converter-theRmalUAV.git
cd thermal-image-converter-theRmalUAVRun installer.R to install the required packages.
Images can be converted either as individual files, or as a complete orthomosaic.
In R, load the library library(theRmalUAV), and use tuav_cameras() along with
the online documentation of theRmalUAV to understand requirements of the used sensor.
In image-based_correction.R, adjust all parameters and paths, and run the script.
Consider keeping folders of <1000 files, else the script might crash.
In orthomosaic-based_correction.R, adjust all parameters and paths, and run the script.
You might need to install the terra package.
After converting loads of image files into TIF format and correcting for
atmospheric conditions, the files are called original_filename_corrected.tif.
It might be useful to rename and remove the _corrected from the resulting file names
for shorter file paths and consistent names. For this open the Python script rename_corrected_filenames.py,
specify the path containing the folder with the files to be renamed and run the script.
The resulting .tif file(s) are in centi Kelvin (cK, 27315 cK = 0°C).
This script only facilitates the application. Credits go to the developers of the
theRmalUAV package theRmalUAV