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    Table of content


    • Python stack
    • Data access
    • Preprocessing
    • Features extraction
    • Processing chains, pipelines, applications
    • Vizualisation tools
    • Code optimization and distribution
    • Data Hub
    • CNES topics

    Getting started

    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.)

    Python stack

    Data access


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

    Data access

    Preprocessing


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

    Preprocessing

    Features extraction


    Libraries and tools to extract valuable information from images.

    Features extraction

    Processing chains, pipelines, applications


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

    Processing chains, pipelines, applications

    Vizualisation tools


    Python libs and desktop tools to display various data

    Vizualisation tools

    Code optimization and distribution


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

    Code optimization and distribution

    Data Hub


    Some data hubs to help you get satellite data

    Data Hub

    CNES topics


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

    CNES topics
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