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        "author": "Bane Sullivan",
        "author_email": "info@pvgeo.org",
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: GIS",
            "Topic :: Scientific/Engineering :: Visualization"
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        "description": "ESPA Tools\n==========\n\n.. image:: https://readthedocs.org/projects/espatools/badge/?version=latest\n   :target: https://espatools.readthedocs.io/en/latest/?badge=latest\n   :alt: Documentation Status\n\n.. image:: https://img.shields.io/pypi/v/espatools.svg\n   :target: https://pypi.org/project/espatools/\n   :alt: PyPI\n\n.. image:: https://travis-ci.org/OpenGeoVis/espatools.svg?branch=master\n   :target: https://travis-ci.org/OpenGeoVis/espatools\n   :alt: Build Status\n\n.. image:: https://img.shields.io/badge/docs%20by-gendocs-blue.svg\n   :target: https://gendocs.readthedocs.io/en/latest/?badge=latest)\n   :alt: Documentation Built by gendocs\n\n.. image:: https://img.shields.io/github/stars/OpenGeoVis/espatools.svg?style=social&label=Stars\n   :target: https://github.com/OpenGeoVis/espatools\n   :alt: GitHub\n\nAn open-source Python package for simple loading of Landsat imagery as NumPy arrays.\nWhen downloading Landsat imagery from `USGS Earth Explorer`_, the datasets contain\nmany bands (``.tif`` files) and a few metadata files (``.txt`` and ``.xml`` files).\n``espatools`` is built to parse the ``.xml`` metadata file to read all of the bands\nfor that dataset and provide a convenient and intuitive means of accessing that\nmetadata along side the raw data in a Python environment.\n``espatools`` can be found on `GitHub`_ and `PyPI`_.\n\n\n.. image:: https://github.com/OpenGeoVis/espatools/raw/master/collage.png\n   :alt: Collage of RGB colors\n\n\n.. _USGS Earth Explorer: https://earthexplorer.usgs.gov\n.. _GitHub: https://github.com/OpenGeoVis/espatools/\n.. _PyPI: https://pypi.org/project/espatools/\n\nConnections\n-----------\n\n- The package heavily uses `properties`_ for the creation of strongly typed objects in a consistent, declarative way.\n- `PVGeo`_ has implemented an interface for ``espatools`` to read Landsat imagery via XML metadata files. Check out PVGeo's `Landsat Reader`_ for more details.\n\n.. _properties: http://propertiespy.readthedocs.io/en/latest/\n.. _PVGeo: http://pvgeo.org\n.. _Landsat Reader: http://pvgeo.org/examples/grids/raster/\n\nGetting Started\n---------------\n\n``espatools`` is available from `PyPI`_\n\n.. _PyPI: https://pypi.org/project/espatools/\n\n.. code-block:: bash\n\n    $ pip install espatools\n\n\nUsage\n^^^^^\n\nWe think `espatools` is easy to use; give it a try and let us know what you think as this is just the alpha-release!\n\n1. First, take a look at `this example`_ for `PVGeo`_ where ``espatools`` has an interface for direct use in ParaView.\n\n.. _this example: http://pvgeo.org/examples/grids/raster/\n\n2. Then checkout `this Jupyter Notebook`_ for a demonstration of some simple plotting after reading Landsat imagery in a Python environment.\n\n.. _this Jupyter Notebook: https://github.com/OpenGeoVis/espatools/blob/master/Example.ipynb\n\n\nExample False Color\n^^^^^^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    import espatools\n    import matplotlib.pyplot as plt\n\n    # Create the reader to manage I/O\n    reader = espatools.RasterSetReader(filename='metadata.xml')\n\n    # Perform the read and yield a raster set\n    raster = reader.read()\n\n    # Get an RGB color scheme\n    color = raster.get_rgb('false_a')\n\n    # Now plot the false color image\n    plt.imshow(color)\n\n\nThe results of the above code yield the following false color image:\n\n\n.. image:: https://github.com/OpenGeoVis/espatools/raw/master/RGB.png\n   :alt: RGB False Color",
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