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.
pipinstall.
$ pip install aeroet
- Use as desired!
Usage
See https://github.com/brynemorgan/uavet-wrr for example usage.
1 maintainer
Metadata
1 maintainer
Release files for aeroet 0.1.1
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| File | Size | Uploaded | Provenance | |
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| aeroet-0.1.1.tar.gz | 72.3 kB | Without provenance | Details |
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| aeroet-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 138.5 kB
Release files / aeroet-0.1.1.tar.gz
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| Tags | Python 3 |
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