ESPA Tools

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An open-source Python package for simple loading of Landsat imagery as NumPy arrays. This website hosts the code documentation for the espatools python package found on GitHub and PyPI. This website documents the code so that users have a convenient and familiar means of searching through the library to understand the backend of the features they are using.

Connections

  • The package heavily uses properties for the creation of strongly typed objects in a consistent, declarative way.
  • PVGeo has implemented an interface for espatools to read Landsat imagery via XML metadata files. Check out PVGeo’s Landsat Reader for more details.

Getting Started

espatools is available from PyPI

$ pip install espatools

Usage

We think espatools is easy to use; give it a try and let us know what you think as this is just the alpha-release!

  1. First, take a look at this example for PVGeo where espatools has an interface for direct use in ParaView.
  1. Then checkout this Jupyter Notebook for a demonstration of some simple plotting after reading Landsat imagery in a Python environment.

Example False Color

import espatools
import matplotlib.pyplot as plt

# Create the reader to manage I/O
reader = espatools.RasterSetReader(filename='metadata.xml')

# Perform the read and yield a raster set
raster = reader.Read()

# Get an RGB color scheme
color = raster.GetRGB('false_a')

# Now plot the false color image
plt.imshow(color)

The results of the above code yield the following false color image:

RGB False Color

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