Open codes#
Contribution to the development of open source codes
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🚧 This page is still under construction 🚧
pyCATHY#
Open-source python package wrapper aiming at coupling hydrological forward modelling with geophysical data by [1].
Fig. 11 Result of a controlled irrigation in a rhizotron using CATHY © B. Mary#
How to install#
Install using setup.py:
git clone https://github.com/BenjMy/pycathy_wrapper
cd pycathy_wrapper
python setup.py develop|install
import pyCATHY
How to use#
Notebook example#
The CATHY repository provides the [6] dataset example to test the installation. On top of that, we provide a computational notebook code to reproduce the results using the pyCATHY wrapper (BenjMy/pycathy_wrapper).
The notebook illustrate how to work interactively: execute single cell, see partial results at different processing steps (preprocessing, processing, output)… You can share it to work collaboratively on it by sharing the link and execute it from another PC without any installation required.
Saturated area dynamics and streamflow generation from coupled surface–subsurface simulations and field observations Weill, S., Altissimo, M., Cassiani, G., Deiana, R., Marani, M., Putti, M. (2013) Advances in Water Resources. 10.1016/j.advwatres.2013.06.007
How to cite#
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CAGS#
The Catalog of Agrogeophysical Survey is a platform putting together a database/catalog of agrogeophysical surveys in order to promote FAIR practicies and boost future research.
Catalog
Notebooks
Geophysical Metadata manager
The catalog is part of the FAIRsharing platform - See its related databases.
FAIRsharing.org: CAGS; Catalog of Agrogeophysical Studies, FAIRsharing ID: http://beta.fairsharing.org/3765, Last Edited: Monday, January 31st 2022, 7:26, Last Editor:delphinedauga,Last Accessed: Wednesday, February 2nd 2022, 18:57
Useful links#
project log on ResearchGate
Fig. 12 Project logo © S. Garré#
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pyTSEB#
Open-source python package aiming at inverting Land Surface Temperature data using the energy balance formulation by [4].
Contributions#
Fixing bugs
Code documentation
How to install#
Install using setup.py:
git clone https://github.com/hectornieto/pyTSEB
cd pyTSEB
python setup.py develop|install
import pyTSEB
Or you can create a conda environment:
conda env create -f environment.yml
How to use#
See github documentation
Notebook example#
How to cite#
Warning
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pyDEXP#
Open-source python package aiming at processing potential field data using the dEXP theory formulated by [2].
How to install#
Install using setup.py:
git clone https://github.com/BenjMy/dEXP_imaging
cd dEXP_imaging
python setup.py develop|install
import dEXP
How to use#
Notebook example#
How to cite#
Mary, B., Peruzzo, L., Wu, Y., and Cassiani, G. (2022). Advanced Potential Field Analysis Applied to Mise‐à‐la‐Masse Surveys for Leakage Detection. JGR Solid Earth 127. doi:10.1029/2022JB024747
Warning
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iCSD#
Inversion of Current Source Density data. Application to imaging of plant roots.
How to install#
Install using setup.py:
git clone https://github.com/BenjMy/icsd_dev
cd icsd_dev
python setup.py develop|install
import icsd
How to use#
How to cite#
Warning
Found a bug 🐛/ a typo ? Email me
Glossary#
- FAIR#
FAIR data are data which meet principles of findability, accessibility, interoperability, and reusability.[1]