Lumos (STEREO toolbox)

You are here

LUMOS (Remote sensing image processing algorithms for land use and land cover monitoring systems) is a Stereo III Development of applications project. With the specific goal of promotion of image processing algorithms and valorisation of research results of Belgian scientists, the objective of the LUMOS project is to unlock data processing tools and algorithms that have been developed by scientists over the course of the STEREO programme by transforming them into user-friendly plugins (written in Python) for the common open-source environment QGIS.

Expected products and services
  • A set of user-friendly QGIS plugins, user manuals, test data and exercises.
  • A standard protocol for future software developers under STEREO programs.
  • A dedicated workshop to launch and demonstrate the STEREO toolset to the users.
Potential users

Tools will be written in such a way that they can serve users at three different levels:

  1. Thematic user: User friendly GUI with standard settings
  2. Expert user: User friendly GUI with (expert) options
  3. Developer: Well documented code to tweak

Ben Somers, KU Leuven

Ann Crabbé, KULeuven


Research teams involved in the STEREO programme have also been making software accessible outside of the LUMOS project. You will find a selection below.


  • Complete InSAR suite developed by the signal Lab of CSL

    The Centre Spatial de Liege (CSL) has a long standing experience in the frame of SAR processing and SAR interferometry (InSAR). In the frame of numerous projects mainly funded by BELSPO and ESA, the signal Lab of CSL has developed a complete InSAR suite now known has CIS. CIS, as all tools of its kind, allows performing all processing steps for InSAR, DInSAR, PolSAR, PolInSAR, … including geoprojection of results in raw or ENVI format.

  • DIARS toolbox
    This website is part of the DIARS project that brings together European experts from remote sensing and ecology to demonstrate and characterize the impact of invasive species on ecosystems through the combined use of field data and data obtained through remote-sensing technologies and support the monitoring and prediction of spread and risk assessment of invasive plant species. It consists of a series of tutorials that walk you through a remote sensing-based framework for mapping, modelling and assessing the impact of biological invasions.

    A spectral mixing technique called Multiple Endmember Spectral Mixture Analysis (MESMA) is at the core of VIPER Tools. MESMA is an extension of simple Spectral Mixture Analysis (SMA).