Bidimensional footprint analysis for Eddy Covariance data.
The project consists of:
- lower-level modules with the basic functions needed in order to produce 1D and 2D footprints.
The following Python libraries will be required:
- python=3.9
- numpy
- scipy
- gdal
- proj
- pyproj
- https://github.com/hectornieto/pytseb
With conda, you can create a complete environment with
conda env create -f environment.yml
Then you can install the package using pip:
pip install ./
footprint_analysis: a Python bidimensional footprint analysis for Eddy Covariance data.
Copyright 2024 Hector Nieto and contributors.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.