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Python Library for simulating physiological processes in plants

Project description

Python Library for simulating physiological processes in plants. The aim of this project is to implement the energy balance model developed in Berni et al. 2009 that allows to estimate canopy conductance from a combination of canopy temperature and basic micro-metheorological observations.

The different components of the model can also be used in the simulation and estimation of physical processes such as aerodynamic modeling, calculation of solar radiation, etc.

# Background Calculation of ETo and ETa

# Installation

`pip install opencropib `

# Examples

# Terms of use and citation This library is licensed under the MIT license.

Copyright 2017 Jose A. Jimenez-Berni

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

# References Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop evapotranspiration: guidelines for computing crop water requirements. Roma: Food and Agriculture Organization of the United Nations Available at: https://appgeodb.nancy.inra.fr/biljou/pdf/Allen_FAO1998.pdf.

Berni, J. A. J., Zarco-Tejada, P. J., Sepulcre-Cantó, G., Fereres, E., and Villalobos, F. (2009). Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sens. Environ. 113, 2380–2388. doi:10.1016/j.rse.2009.06.018.

https://github.com/woodcrafty/PyETo

Project details


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