Application Tutorials
Use this catalog to choose an application-oriented EnMAP-Box workflow. The tutorials range from introductory examples with prepared data to specialized applications for machine learning, geology, ocean colour, soil mapping, vegetation analysis, atmospheric preprocessing, and HPC processing.
Select a tutorial by topic, method, or processing environment. Internal links open tutorials in this documentation; external links point to companion tutorials maintained by the corresponding application teams.
Tutorial Catalog
No. |
Tutorial |
Focus |
Best for |
|---|---|---|---|
1 |
Estimate urban land-cover fractions from hyperspectral imagery using spectral libraries and regression-based unmixing. |
Urban mapping, mixed pixels |
|
2 |
Build forest aboveground biomass maps from imaging spectroscopy data and reference observations. |
Forest biomass modelling |
|
3 |
Use the OLCI Neural Network Swarm workflow to retrieve water quality parameters from ocean colour data. |
Coastal and inland waters |
|
4 |
Classify geological surface materials from hyperspectral data with user-defined endmembers and colour schemes. |
Mineral mapping |
|
5 |
Generate and validate topsoil property maps from hyperspectral imagery. |
Soil property mapping |
|
6 |
Learn how to load, inspect, edit, and use spectral libraries in EnMAP-Box. |
First spectral library workflows |
|
7 |
Install and run QGIS, EnMAP-Box processing algorithms, and SLURM jobs on a command-line HPC system. |
Batch processing, HPC users |
|
8 |
Train and apply deep-learning segmentation models for spectral imagery. |
Spatial-spectral pixel classification |
|
9 |
Retrieve vegetation variables with the IVVRM application workflow. |
Vegetation variables |
|
10 |
Estimate nitrogen using SIO and DASF workflows from companion EnMAP-Box tools. |
Nitrogen estimation |
|
11 |
Run EnMAP Processing Tool workflows for EnMAP data preparation and preprocessing. |
EnMAP preprocessing |