Skip to main content

A package to compute metrics from Satellite Image Time Series (SITS).

Project description

Spatio-Temporal Metrics

.. image:: :target: :alt: Documentation Status

.. image:: :target: :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.


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



  • Thales Körting
  • Hugo Bendini
  • Leila Fonseca
  • Daiane Vaz
  • Tatiana Uehara
  • Michel Chaves
  • Sarah Lechler

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stmetrics-0.1.4.tar.gz (12.8 kB view hashes)

Uploaded source

Built Distribution

stmetrics-0.1.4-py3-none-any.whl (27.1 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page