Sentinel2 images exploration and processing with Python and Rasterio - Tutorial

Rasterio is a Python library that allows to read, inspect, visualize and write geospatial raster data. The library uses GeoTIFF and other spatial raster formats and is capable of working with satellite imagery, digital elevation models, and drone imagery data products. Rasterio allows you to import a single band or multiband geospatial raster in a interactive Python enviroment as Jupyter notebook, the library can keep the “duality” of the geospatial raster, that means, it can handle the location and resolution parameters as well as the matrix values of the gridded elements.
This tutorial shows some basic procedures to explore a multiband Sentinel 2 granule with Python 3 and Rasterio on a Jupyter Notebook. The tutorial shows the comands to identify the raster array dimensions and the geospatial referencing parameters, make representation of each visible band and export band composites as true color and false color geoespatial rasters in Tiff format.
Input data
You can download the input data and scripts for this tutorial here:
www.hatarilabs...

[@isaacnzayisenga1189]

Thank you so much

[@4limusic542]

great video. THANK YOU

[@aveenfaheem8657]

How can i get this data? I downloaded the zip file but Sentinel2 and Ladsat8 files are missing.

[@manjariupreti4207]

I have shapefile as samples how to run classification in python using shp file and stacked satellite data as tiff file

[@johnwaweru7631]

Is it advisable to save the data in the document folder for working with it as opposed to saving it on the desktop?

[@x-seen2932]

Don't you have to apply orbit files?

[@jompyras]

¿Porqué no haceis el tutorial en español? ;)

[@jompyras]

La ruta donde están los datos y scripts falla :(

[@theforester_]

because pretty much everyone can understand english but not everyone can understand spanish, had this tutorial not been in english i prob woldn't be watching it