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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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