Get Started With EarthPy

EarthPy is a python package devoted to working with spatial and remote sensing data. EarthPy also contains an IO module that supports downloading data for the Earth Lab earth analytics courses.

EarthPy Modules

  • Spatial: Various functions for loading, manipulating, and displaying raster data - create_raster_stack: generates a single multi-band raster from separate raster TIFs, such as a collection of single-band TIFs from Landsat - normalized_diff: calculate a normalized difference for two bands of a multi-band raster - hillshade: create a hillshade array from image elevation data - crop_image: crop raster data to a polygon - Custom plotting shortcuts, such as colorbar for appropriately sized legends, create_legend for legends showing a color for each class of a raster, plot_bands for creating a grid of images showing each individual band of a raster, and plot_rgb for quickly generating composite images or false color images from raster bands.
  • IO: Handles data search and retrieval from EarthLab, supporting analytics courses available here.
  • Utils: Handles path fixes for EarthLab image retrieval – new utils module forthcoming

Installation

Dependencies

Earthpy has several Python package dependencies including : rasterio, geopandas, numpy.

To install earthpy, use pip. --upgrade is optional but it ensures that the package overwrites when you install and you have the current version. If you don’t have the package yet you can still use the --upgrade argument.

pip install --upgrade git+https://github.com/earthlab/earthpy.git

Then import it into python.

>>> import earthpy as et

To import the spatial module use:

>>> import earthpy.spatial as es