Surface energy balance and atmospheric profiling algorithms for calculating evapotranspiration from thermal imagery
Project description
aeroet
Surface energy balance and atmospheric profiling algorithms for calculating evapotranspiration from thermal imagery.
See Morgan, B.E. & Caylor, K.K. (2023). Estimating fine-scale transpiration from UAV-derived thermal imagery and atmospheric profiles. Water Resources Research, 59, e2023WR035251. https://doi.org/10.1029/2023WR035251
Note: The API and documentation are under development. Please contact Bryn Morgan (brynmorgan@ucsb.edu) with any questions.
Installation
- Create a new conda environment.
$ conda create -n aeroet python=3.10
$ conda activate aeroet
Note: I'm not sure whether specifying the version of python is necessary, but likely depends the version of python install in your base
environment. Better to specify.
pip
install.
$ pip install aeroet
- Use as desired!
Usage
See https://github.com/brynemorgan/uavet-wrr for example usage.
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