fototex 1.5.3

Fourier Transform Textural Ordination

FOTOTEX

Fourier Transform Textural Ordination in Python

Freely adapted from https://github.com/CaussesCevennes/FOTO.py

List of authors

• Benjamin Pillot [e-mail]
• Dominique Lyszczarz [e-mail]
• Claire Teillet [e-mail]
• Pierre Couteron [e-mail]
• Nicolas Barbier [e-mail]
• Philippe Verley [e-mail]
• Marc Lang [e-mail]
• Thibault Catry [e-mail]
• Laurent Demagistri [e-mail]
• Nadine Dessay [e-mail]

Tutorial

See here

Description

FOTO (Fourier Textural Ordination) is an algorithm allowing texture characterization and comparison, and is fully described in Textural ordination based on Fourier spectral decomposition: a method to analyze and compare landscape patterns (Pierre Couteron, Nicolas Barbier and Denis Gautier, 2006)

FOTOTEX is to date the most complete Python implementation of this algorithm. It is (really) fast and optimized to get the best of FOTO on any computer.

Installation

Use pip in a terminal to install fototex:

$ pip install fototex

Note on GDAL

Installing GDAL through pip might be tricky as it only gets the bindings, so be sure the library is already installed on your machine, and that the headers are located in the right folder. Another solution may to install it through a third-party distribution such as conda.

See here for the steps you should follow to install GDAL/OGR and the GDAL Python libraries on your machine.

Contributing

Development and improvement

• Benjamin Pillot
• Dominique Lyszczarz
• Claire Teillet
• Pierre Couteron
• Nicolas Barbier
• Philippe Verley
• Marc Lang
• Thibault Catry
• Laurent Demagistri

Conceptualization and Coordination

• Benjamin Pillot
• Thibault Catry
• Nadine Dessay

Scientific projects

• TOSCA APUREZA project, funded by CNES (TOSCA 2017-2020)
• TOSCA DELICIOSA project, funded by CNES (TOSCA 2020-2022)
• PCIA PROGYSAT project, funded by Interreg Amazon Cooperation Program (Urban axis) - (2021-2023)