..
This file is part of Python Client Library for WTSS.
Copyright (C) 2022 INPE.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/gpl-3.0.html>.
=================================================
Python Client Library for Web Time Series Service
=================================================
.. image:: https://img.shields.io/badge/License-GPLv3-blue.svg
:target: https://github.com/brazil-data-cube/wtss.py/blob/master/LICENSE
:alt: Software License
.. image:: https://readthedocs.org/projects/wtss/badge/?version=latest
:target: https://wtss.readthedocs.io/en/latest/
:alt: Documentation Status
.. image:: https://img.shields.io/badge/lifecycle-stable-green.svg
:target: https://www.tidyverse.org/lifecycle/#stable
:alt: Software Life Cycle
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:target: https://github.com/brazil-data-cube/wtss.py/releases
:alt: Release
.. image:: https://img.shields.io/pypi/v/wtss
:target: https://pypi.org/project/wtss/
:alt: Python Package Index
.. image:: https://img.shields.io/discord/689541907621085198?logo=discord&logoColor=ffffff&color=7389D8
:target: https://discord.com/channels/689541907621085198#
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About
=====
**W**\ eb **T**\ ime **S**\ eries **S**\ ervice (WTSS) is a lightweight web service for handling time series data from remote sensing imagery. Given a location and a time interval you can retrieve the according time series as a list of real values.
In WTSS a coverage is a three dimensional array associate to spatial and temporal reference systems.
.. image:: https://raw.githubusercontent.com/brazil-data-cube/wtss.py/master/docs/sphinx/img/image-time-series.png
:target: https://github.com/brazil-data-cube/wtss.py/blob/master/docs/sphinx/img/image-time-series.png
:width: 240
:alt: Coverage as a three dimensional array
WTSS is based on three operations:
- ``list_coverages``: returns the list of all available coverages in the service.
- ``describe_coverage``: returns the metadata of a given coverage.
- ``time_series``: query the database for the list of values for a given location and time interval.
If you want to know more about WTSS service, please, take a look at its `specification <https://github.com/brazil-data-cube/wtss-spec>`_.
Installation
============
Linux, macOS, and Windows users can get ``wtss`` from the `Python Package Index <https://pypi.org/project/wtss/>`_ with a recent version of ``pip``::
pip install wtss
.. note::
If you want to install the Matplotlib support, use the following command::
pip install wtss[matplotlib]
Documentation
=============
See https://wtss.readthedocs.io/en/latest/.
References
==========
VINHAS, L.; QUEIROZ, G. R.; FERREIRA, K. R.; CÂMARA, G. `Web Services for Big Earth Observation Data <http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44004>`_. Revista Brasileira de Cartografia, v. 69, n. 5, 18 maio 2017.
License
=======
.. admonition::
Copyright (C) 2022 INPE.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
..
This file is part of Python Client Library for WTSS.
Copyright (C) 2023 INPE.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/gpl-3.0.html>.
Changes
=======
Version 0.7.1 (2023-11-16)
--------------------------
- Fix matplotlib deprecation for plot grid time series (`#95 <https://github.com/brazil-data-cube/wtss.py/issues/95>`_)
Version 0.7.0 (2022-09-28)
--------------------------
- Change LICENSE to GPL v3
- Review docs and links
Version 0.7.0-3 (2021-03-29)
----------------------------
- Add the property ``common_name`` to the ``describe_coverage`` HTML representation: `#63 <https://github.com/brazil-data-cube/wtss.py/issues/63>`_.
Version 0.7.0-2 (2021-03-17)
----------------------------
- Addedd ``access token`` to the client API: `#57 <https://github.com/brazil-data-cube/wtss.py/issues/57>`_.
- Using Jinja 2 templates for Jupyter HTML output: `#51 <https://github.com/brazil-data-cube/wtss.py/issues/51>`_.
- Using Drone: `#54 <https://github.com/brazil-data-cube/wtss.py/issues/54>`_.
Version 0.7.0-1 (2020-09-14)
----------------------------
- Improved integration with Jupyter Environment: `#25 <https://github.com/brazil-data-cube/wtss.py/issues/25>`_.
- Improved ``plot`` method for ``TimeSeries``.
- Added Unit-tests.
- Fixed small typos in documentation.
Version 0.7.0-0 (2020-09-11)
----------------------------
- Basic integration with Jupyter Environment and Matplotlib.
- Command Line Interface (CLI).
- Documentation system based on Sphinx.
- Documentation integrated to ``Read the Docs``.
- Installation and build instructions.
- Package support through Setuptools.
- Installation and usage instructions.
- Travis CI support and PyPI deploy.
- Unit-test environment set.
- Source code versioning based on `Semantic Versioning 2.0.0 <https://semver.org/>`_.
- License: `MIT <https://github.com/gqueiroz/wtss.py/blob/master/LICENSE>`_.
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"description": "..\n This file is part of Python Client Library for WTSS.\n Copyright (C) 2022 INPE.\n\n This program is free software: you can redistribute it and/or modify\n it under the terms of the GNU General Public License as published by\n the Free Software Foundation, either version 3 of the License, or\n (at your option) any later version.\n\n This program is distributed in the hope that it will be useful,\n but WITHOUT ANY WARRANTY; without even the implied warranty of\n MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n GNU General Public License for more details.\n\n You should have received a copy of the GNU General Public License\n along with this program. 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Given a location and a time interval you can retrieve the according time series as a list of real values.\n\n\nIn WTSS a coverage is a three dimensional array associate to spatial and temporal reference systems.\n\n\n.. image:: https://raw.githubusercontent.com/brazil-data-cube/wtss.py/master/docs/sphinx/img/image-time-series.png\n :target: https://github.com/brazil-data-cube/wtss.py/blob/master/docs/sphinx/img/image-time-series.png\n :width: 240\n :alt: Coverage as a three dimensional array\n\n\nWTSS is based on three operations:\n\n- ``list_coverages``: returns the list of all available coverages in the service.\n\n- ``describe_coverage``: returns the metadata of a given coverage.\n\n- ``time_series``: query the database for the list of values for a given location and time interval.\n\n\nIf you want to know more about WTSS service, please, take a look at its `specification <https://github.com/brazil-data-cube/wtss-spec>`_.\n\n\nInstallation\n============\n\n\nLinux, macOS, and Windows users can get ``wtss`` from the `Python Package Index <https://pypi.org/project/wtss/>`_ with a recent version of ``pip``::\n\n pip install wtss\n\n\n.. note::\n\n If you want to install the Matplotlib support, use the following command::\n\n pip install wtss[matplotlib]\n\n\nDocumentation\n=============\n\n\nSee https://wtss.readthedocs.io/en/latest/.\n\n\nReferences\n==========\n\n\nVINHAS, L.; QUEIROZ, G. 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