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aeroet

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Surface energy balance and atmospheric profiling algorithms for calculating evapotranspiration from thermal imagery

dronesecohydrologyevapotranspirationimagingthermaluav
Versions collected1
Direct dependencies3From release 0.1.1
Last observed20 Oct, 20:30 UTC

README

Version 0.1.1 documentation

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

  1. 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.

  1. pip install.
$ pip install aeroet
  1. Use as desired!

Usage

See https://github.com/brynemorgan/uavet-wrr for example usage.

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Versions 1

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VersionPublishedDirect dependenciesOpen version
0.1.17 Mar 20243

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brynemorgan/aeroet

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package:1726d0fafe3e70f89c84eff112190eee98e0fab68b2b8d781a06dec1d18589c0