Open Data Cube – Indexing Rasters Generated Through Algorithms

open-data-cube

I'm getting familiar with Open Data Cube and its process to index EO data from different sources but I could not find any example of indexing products/datasets created by algorithms (i.e. running in Jupiter notebooks). Is there a proper way to do that or it is something I'm not supposed to do with ODC?

Best Answer

This is an important question, and the short answer is that it's a really good idea, but it's not done a lot.

The normal practice for the Open Data Cube is to develop analyses in Python code in a notebook and if that analysis becomes a product, it will be re-developed a little into a data production pipeline of some description.

Two examples common in Digital Earth Australia and Digital Earth Africa are Datacube Alchemist and Statistician.

Another alternative is to develop your own metadata that goes along with the data you're producing. I like doing this using Rio STAC, just make sure to include the Projection extension.

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python – Unable to Plot Open Data Cube Dataset Image: How to Fix

I think this might be able to be solved just by running plt.show() after calling the .plot() method.

Another issue I have sometimes encountered is importing matplotlib and then plotting something in the same cell in Jupyter Notebooks. I can't remember why this issue was caused or if it fixed now, but perhaps the following will work (with the imports in a different cell):

import datacube
import matplotlib.pyplot as plt

dc = datacube.Datacube(app = 'my_app', config = 'C:/Users/user/datacube.conf')
ds = dc.load(product='LISS3_test1',
        longitude=(85.75, 86),
        latitude=(20.25, 20.5),
        output_crs='EPSG:4326',
        resolution=(-0.000225, 0.000225)
)
nir_image = ds.nir
nir_image.plot(cmap = "Greys")
plt.show()

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Related Solutions

python – Unable to Plot Open Data Cube Dataset Image: How to Fix

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