Jupyter Notebook - snappy - NDVI calculation

[ewelina_123]

Hi there,
I am trying to develop Jupyter Notebook tutorial on calculation of NDVI over the area using 4 Sentinel 2 images downloaded from Copernicus Hub. As I am completely new in this topic and the use of snappy in JN I would consider any help. Do you have solution for example how to plot band composite in snappy using probably numpy as well. I am trying but cannot create a band stack from the numpy… Also I cannot find any source where NDVI is calculated from S2 images and then displayed in JN. My task is to perform a step by step instruction in JN and process everything there also displaying results.
I would appreciate any suggestion!
All the best

[marpet]

There are some example Jupyter Notebooks at techforspace/sentinel: Repository created for the Earth Observation Sentinel project (github.com)
Maybe they can help you to get started.
This is also linked on our tutorial page, in the External Resources section.

[cristianoLopes]

Here’s an interesting example using GDAL:

Calculate NDVI from Sentinel-2A Data

You can also try to use Snapista

Introducing snapista, a GPT wrapper for Python

Hello! Let me introduce snapista, a GPT wrapper for Python. The goal is to provide an easy and pythonic way (to some extent) to write and run SNAP graphs using Python (a script or a Jupyter Notebook). To create a graph, one would write: from snapista import Graph from snapista import Operator g = Graph() g.add_node(operator=Operator('Read'), node_id='read_1') calibration = Operator('Calibration') calibration.createBetaBand = 'false' g.add_node(operator=calibration, …

Perhaps you can find some of the examples useful.