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Python Client Library for WTSS.

Project description

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About

Web Time Series Service (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.

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.

Installation

Linux, macOS, and Windows users can get wtss from the Python Package Index 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]

References

VINHAS, L.; QUEIROZ, G. R.; FERREIRA, K. R.; CÂMARA, G. Web Services for Big Earth Observation Data. Revista Brasileira de Cartografia, v. 69, n. 5, 18 maio 2017.

License

Copyright (C) 2020-2021 INPE.

Python Client Library for WTSS is free software; you can redistribute it and/or modify it under the terms of the MIT License; see LICENSE file for more details.

Changes

Version 0.7.0-3 (2021-03-29)

  • Add the property common_name to the describe_coverage HTML representation: #63.

Version 0.7.0-2 (2021-03-17)

  • Addedd access token to the client API: #57.
  • Using Jinja 2 templates for Jupyter HTML output: #51.
  • Using Drone: #54.

Version 0.7.0-1 (2020-09-14)

  • Improved integration with Jupyter Environment: #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.
  • License: MIT.

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