EarthPy is a python package that makes it easier to plot and work with spatial raster and vector data using open source tools. Earthpy depends upon geopandas which has a focus on vector …

(Source code, png, hires.png, pdf) earthpy.plot. draw_legend (im_ax, bbox = (1.05, 1), titles = None, cmap = None, classes = None) [source] Create a custom legend with a box for each …

Learn how to calculate and classify normalized difference indices in Python using EarthPy. This example shows how to calculate and classify the normalized difference vegetation index …

Download all examples in Python source code: gallery_vignettes_python.zip Download all examples in Jupyter notebooks: gallery_vignettes_jupyter.zip Gallery generated by Sphinx …

The examples below will show you how to use the plot_bands() function to plot individual raster layers in images using python. To plot rgb data, read help documentation related to ep.plot_rgb().

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 …

For RGB composite images, you will plot the red, green, and blue bands, which are bands 4, 3, and 2, respectively, in the image stack you created. Python uses a zero-based index system, …

EarthPy has a stack() function that allows you to take a set of .tif files that are all in the same spatial extent, CRS and resolution and either export them together a single stacked .tif file or …

Hillshades are often used as an underlay in a map, to make the data appear more 3-Dimensional and thus visually interesting. This vignette will show you how to create a hillshade from a DEM …

By default, the function data.get_data() will download data to a subdirectory called earth-analytics in the user’s home directory. If the earth-analytics directory does not already exist, the function …