TSEB implementation for the manuscript 'Evaluating the precise grapevine water stress detection using unmanned aerial vehicles and evapotranspiration-based metrics'

[Description of methods used for collection/generation of data] For the data located in 'meteo' folder, an Eddy-Covariance (EC) tower was used to sample all variables described above. The tower was instrumented with an integrated open-path infrared gas analyzer and 3D Sonic anemometer Campbell Scientific1 (IRGASON, Campbell Scientific, Logan, UT, USA) to measure ecosystem-level carbon and water gas exchanges alongwith meterological forcings. The raw data were sampled at a frequency of 20 Hz and recorded using a CR6 datalogger (Campbell Scientific, Logan, UT, USA). Regarding the images from the UAV system in the 'inputs' folder, a DJI Matrice-300 UAV (DJI Technology Co., Ltd, Shenzhen, China) was used to acquire visible near infrared (VNIR), thermal (TIR) and RGB imagery using the sensors Parrot Sequoia+ (Parrot S.A., Paris, France), DJI’s Zenmuse H20T and DJI’s Zenmuse P1, respectively. Regarding the images in the 'outputs' folder, these are the images resulting from applying the different versions of TSEB as shown in the python script ('run_tseb_main.py')