A package to compute metrics from Satellite Image Time Series (SITS).
Project description
Spatio-Temporal Metrics
.. image:: https://readthedocs.org/projects/stmetrics/badge/?version=latest :target: https://stmetrics.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
.. image:: https://img.shields.io/badge/license-MIT-green :target: https://github.com/andersonreisoares/stmetrics/master/LICENSE :alt: License
Produce reliable land use and land cover maps to support the deployment and operation of public policies is a necessity, especially when environmental management and economic development are considered. To increase the accuracy of these maps, satellite image time-series have been used, as they allow the understanding of land cover dynamics through the time.
The stmetrics, is a python package that provides the extraction of state-of-the-art time-series features. These features can be used for remote sensing time-series image classification and analysis.
Installation
You can pip install it straight from git:
.. code-block:: console
pip install stmetrics
For windows users:
Please before installing the package make sure that you have correctly installed the Shapely package.
Using conda do this:
.. code-block:: python
conda config --add channels conda-forge
conda install shapely
Developer Documentation
See https://stmetrics.readthedocs.io/en/latest/
Collaborators
- Thales Körting
- Hugo Bendini
- Leila Fonseca
- Daiane Vaz
- Tatiana Uehara
- Michel Chaves
- Sarah Lechler
Project details
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