wtss 0.7.0.post3

Python Client Library for WTSS.

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.

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]

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. 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.