STEREO toolbox (LUMOS)

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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
Contact

Ben Somers, KU Leuven

Ann Crabbé, KULeuven

LUMOS AVAILABLE TOOLS

MESMA in QGIS

 

MESMA is both a QGIS plugin and stand-alone python package that implements the MESMA (Multiple Endmember Spectral Mixture Analysis) unmixing algorithm in the field of Remote Sensing.

It is based on VIPER Tools: a software package written for ENVI/IDL and released in 2007. Several updates have been released since and now it has been ported to PyQGIS in the period 2017 - 2020. The original VIPER Tools is now split over two python/QGIS tools: Spectral Library Tool and MESMA.

Spectral Library Tool

 

The Spectral Library Tool software package is both a QGIS plugin and stand-alone python package that provides a suite of processing tools for multi- and hyperspectral spectral libraries.

The software is based on VIPER Tools: code written for ENVI/IDL and released in 2007. Several updates have been released since and now it has been ported to PyQGIS in the period 2017 - 2020. The original VIPER Tools is now split over two python/QGIS tools: Spectral Library Tools and MESMA.

 

Tree Density Calculator

 

The Tree Density Calculator is a QGIS plugin and command line interface package designed to calculate tree densities based on brightness images, using the local maximum of a sliding window.

The original Tree Density Calculator was written in C++ and ported to PyQGIS in 2018/2019. It has been developed in an open source environment to encourage further development of the tool.

Neural Network MLPClassifier

 

The Neural Network MLPClassifier software package is both a QGIS plugin and stand-alone python package that provides a supervised classification method for multi-band passive optical remote sensing data. It uses an MLP (Multi-Layer Perception) Neural Network Classifier and is based on the Neural Network MLPClassifier by scikit-learn.

The program was originally developed by Lieven P.C. Verbeke (Ghent University, Laboratory of Forest Management and Spatial Information Techniques). It was written in C++ and ported to PyQGIS in 2019 - 2020. It has been developed in an open source environment to encourage further development of the tool.

OTHER STEREO AVAILABLE TOOLS

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.

SAT-EX Codes & Data

 

The SAT-EX project focused on tne impact of climate and climate extremes on global vegetation. Different source codes are freely available via the Laboratory of Hydrology and Water Management (LHWM) github channel:

  • ConditionalSpectralGrangerCausality

  • E2CI---Detecting-relations-between-modes-of-climate-variability-and-land-evaporation

  • Hydro-climatic-biomes

  • ClimateVegetationDynamics_GrangerCausality

TACT

 

TACT is the Thermal Atmospheric Correction Tool for Landsat developed at RBINS. It retrieves ERA5 atmospheric profiles and uses libRadtran to compute the atmospheric transmittance, and down- and upwelling radiances. Currently TACT outputs the Water Surface Temperature (WST) in each thermal band present on the Landsat sensor, assuming a constant (water) emissivity over the scene.