Getting started
PLUTO helps you to find relevant tools to fit yours needs in remote sensing and data extraction domains.
Tools (libraries, applications, etc.) are divided in several categories that you can select in the catalog.
Pages below gives an introduction to each category, gives some links, tips and tricks to help you start with PLUTO.
Python stack
Basic Python libraries to start with (numpy, pandas, xarray, etc.)

Data access
How to read satellite data (optical, SAR, etc.) ?

Preprocessing
Librairies for satellite images preprocessing (ie : how to get L2 products from L0/L1 raw images ? etc.)

Features extraction
Libraries and tools to extract valuable information from images.

Processing chains, pipelines, applications
End-to-end applications and pipelines (thematic processing chains : 3D, SAR, SITS computing, etc.)

Vizualisation tools
Python libs and desktop tools to display various data

Code optimization and distribution
Overview of various ways to optimize, parallelize and distribute code execution

Data Hub
Some data hubs to help you get satellite data

CNES topics
Useful links to various CNES resources (HPC, VRE, etc.)
