User Manual

• The GUI
  • Toolbar
    • Data Sources
    • Maps and Views
    • Map Tools
    • Vector Tools
    • Earth Observation for QGIS (EO4Q)
  • Panels
    • Data Sources
    • Data Views
    • Spectral Profile Sources
    • Processing Toolbox
    • Cursor Location Values
  • Views
    • Map View
      • Linking
      • Crosshair
    • Spectral Library View
      • Collect profiles
        • Adding information
          • The attribute table
          • Show coordinates of profiles
      • Advanced options
        • Create / Modify profiles with the Field Calculator
        • Spectral Processing
      • Visualization settings
        • General profile plot settings
        • Visualizing profiles
        • Colorize spectra by attribute
      • Loading, Saving and Importing / Exporting
        • Load and Save Spectral Libraries
        • Exporting Profiles
        • Importing Profiles
        • Spectral Profile JSON format
    • Text View
    • Attribute Table View
• Tools
  • Add Product
  • Add Web Map Services (WMS)
  • Band Statistics
  • Bivariate Color Raster Renderer
  • Class Fraction/Probability Renderer and Statistics
  • Classification Statistics
  • CMYK Color Raster Renderer
  • Color Space Explorer
  • Decorrelation Stretch Renderer
  • Enhanced Multiband Color Renderer
  • HSV Color Raster Renderer
  • Image Cube
  • Metadata Viewer
  • Multisource Multiband Color Raster Renderer
  • Raster Layer Styling
  • Raster Source Band Properties Editor
  • Reclassify
  • Scatter Plot
    • Plotting Raster Band vs. Raster Band
    • Plotting Raster Band vs. Vector Field
  • Virtual Raster Builder
• Applications
  • Agricultural Applications
  • Classification Dataset Manager
    • Create a classification dataset
    • Edit categories and features
    • Split dataset randomly
  • Classification workflow
  • Classification Workflow (advanced)
    • Quick Mapping
    • Detailed Analysis
      • Dataset
      • Classifier
      • Feature Clustering
      • Feature Ranking
      • Model
      • Classification
    • Settings
    • Log
  • Classification Workflow (deprecated)
  • EO Time Series Viewer
  • EnPT (EnMAP Processing Tool)
  • GFZ EnGeoMAP
  • Image Math (deprecated)
  • Raster math
    • Single-line expressions
    • Use raster bands
    • Use vector fields
    • Use raster/vector masks
    • Blockwise vs. monolithic processing
    • Multi-line code fragments
    • Metadata handling
    • Input raster lists
  • Regression Dataset Manager
  • Regression Workflow (deprecated)
  • Spectral Index Creator
• Example Data
• Earth Observation for QGIS (EO4Q)
  • GEE Time Series Explorer
    • Getting started
  • Location Browser
  • Profile Analytics
  • Raster Band Stacking
  • Sensor Product Import
• Processing Algorithms
  • Auxilliary
    • Create default paletted raster renderer
  • Classification
    • Class fraction layer from categorized vector layer
    • Classification layer accuracy and area report (for simple random sampling)
    • Classification layer accuracy and area report (for stratified random sampling)
    • Classification layer from class probability/fraction layer
    • Classification workflow
    • Classifier performance report
    • Fit CatBoostClassifier
    • Fit GaussianProcessClassifier
    • Fit generic classifier
    • Fit LGBMClassifier
    • Fit LinearSVC
    • Fit LogisticRegression
    • Fit RandomForestClassifier
    • Fit SpectralAngleMapper
    • Fit SVC (polynomial kernel)
    • Fit SVC (RBF kernel)
    • Fit XGBClassifier
    • Fit XGBRFClassifier
    • Predict class probability layer
    • Predict classification layer
    • Reclassify raster layer
  • Clustering
    • Fit AffinityPropagation
    • Fit Birch
    • Fit KMeans
    • Fit MeanShift
    • Predict (unsupervised) classification layer
  • Convolution, morphology and filtering
    • Spatial convolution Airy Disk filter
    • Spatial convolution Box filter
    • Spatial convolution custom filter
    • Spatial convolution Gaussian filter
    • Spatial convolution Moffat filter
    • Spatial convolution Ricker Wavelet filter
    • Spatial convolution ring filter
    • Spatial convolution Savitsky-Golay filter
    • Spatial convolution Top-Hat filter
    • Spatial convolution Trapezoid filter
    • Spatial Gaussian Gradient Magnitude filter
    • Spatial generic filter
    • Spatial Laplace filter
    • Spatial Maximum filter
    • Spatial Median filter
    • Spatial Minimum filter
    • Spatial morphological Binary Closing filter
    • Spatial morphological Binary Dilation filter
    • Spatial morphological Binary Erosion filter
    • Spatial morphological Binary Fill Holes filter
    • Spatial morphological Binary Opening filter
    • Spatial morphological Binary Propagation filter
    • Spatial morphological Black Top-Hat filter
    • Spatial morphological Gradient filter
    • Spatial morphological Grey Dilation filter
    • Spatial morphological Grey Erosion filter
    • Spatial morphological Grey Opening filter
    • Spatial morphological Laplace filter
    • Spatial morphological White Top-Hat filter
    • Spatial Percentile filter
    • Spatial Prewitt filter
    • Spatial Sobel filter
    • Spectral convolution Box filter
    • Spectral convolution Gaussian filter
    • Spectral convolution Ricker Wavelet filter
    • Spectral convolution Savitsky-Golay filter
    • Spectral convolution Trapezoid filter
  • Dataset creation
    • Create classification dataset (from categorized raster layer and feature raster)
    • Create classification dataset (from categorized spectral library)
    • Create classification dataset (from categorized vector layer and feature raster)
    • Create classification dataset (from categorized vector layer with attribute table)
    • Create classification dataset (from JSON file)
    • Create classification dataset (from Python code)
    • Create classification dataset (from table with categories and feature fields)
    • Create classification dataset (from text files)
    • Create regression dataset (from continuous-valued layer with attribute table)
    • Create regression dataset (from continuous-valued raster layer and feature raster)
    • Create regression dataset (from continuous-valued spectral library)
    • Create regression dataset (from continuous-valued vector layer and feature raster)
    • Create regression dataset (from JSON file)
    • Create regression dataset (from Python code)
    • Create regression dataset (from table with target and feature fields)
    • Create regression dataset (from text files)
    • Create regression dataset (SynthMix from classification dataset)
    • Create unsupervised dataset (from feature raster)
    • Create unsupervised dataset (from JSON file)
    • Create unsupervised dataset (from Python code)
    • Create unsupervised dataset (from spectral library)
    • Create unsupervised dataset (from text file)
    • Create unsupervised dataset (from vector layer with attribute table)
    • Merge classification datasets
    • Random samples from classification dataset
    • Random samples from regression dataset
    • Select features from dataset
  • Debugging
  • Export data
    • Save spectral library as GeoJSON file
  • Feature selection
    • Classifier feature ranking (permutation importance)
    • Hierarchical feature clustering
  • Import data
    • Import DESIS L1B product
    • Import DESIS L1C product
    • Import DESIS L2A product
    • Import EnMAP L1B product
    • Import EnMAP L1C product
    • Import EnMAP L2A product
    • Import Landsat L2 product
    • Import PRISMA L1 product
    • Import PRISMA L2B product
    • Import PRISMA L2C product
    • Import PRISMA L2D product
    • Import Sentinel-2 L2A product
  • Masking
    • Apply mask layer to raster layer
    • Create mask raster layer
    • Layer to mask raster layer
  • Raster analysis
    • Aggregate raster layer bands
    • Convex hull and continuum-removal
    • Create spectral indices
    • Raster layer zonal aggregation
    • Raster math
    • Sample raster layer values
    • VRT band math
  • Raster conversion
    • Create RGB image from class probability/fraction layer
    • Save raster layer as
    • Translate categorized raster layer
    • Translate raster layer
    • Write ENVI header
  • Raster miscellaneous
    • Create grid
    • Edit raster source band properties
    • Stack raster layers
    • Subset raster layer bands
  • Raster projections
    • Geolocate raster layer
  • Regression
    • Fit CatBoostRegressor
    • Fit GaussianProcessRegressor
    • Fit generic regressor
    • Fit KernelRidge
    • Fit LGBMRegressor
    • Fit LinearRegression
    • Fit LinearSVR
    • Fit PLSRegression
    • Fit RandomForestRegressor
    • Fit SVR (polynomial kernel)
    • Fit SVR (RBF kernel)
    • Fit XGBRegressor
    • Fit XGBRFRegressor
    • Predict regression layer
    • Receiver operating characteristic (ROC) and detection error tradeoff (DET) curves
    • Regression layer accuracy report
    • Regression workflow
    • Regressor performance report
    • Spectral Index Optimizer
  • Spectral resampling
    • Spectral resampling (to custom sensor)
    • Spectral resampling (to DESIS HSI)
    • Spectral resampling (to EnMAP)
    • Spectral resampling (to Landsat 4/5 TM)
    • Spectral resampling (to Landsat 7 ETM+)
    • Spectral resampling (to Landsat 8/9 OLI)
    • Spectral resampling (to PRISMA)
    • Spectral resampling (to response function library)
    • Spectral resampling (to Sentinel-2 MSI)
    • Spectral resampling (to spectral raster layer wavelength and FWHM)
  • Transformation
    • Fit FactorAnalysis
    • Fit FastICA
    • Fit FeatureAgglomeration
    • Fit KernelPCA
    • Fit MaxAbsScaler
    • Fit MinMaxScaler
    • Fit Normalizer
    • Fit PCA
    • Fit QuantileTransformer
    • Fit RobustScaler
    • Fit StandardScaler
    • Inverse transform raster layer
    • Transform raster layer
  • Unmixing
    • Regression-based unmixing
  • Vector conversion
    • Rasterize categorized vector layer
    • Rasterize vector layer
  • Vector creation
    • Random points from categorized raster layer
    • Random points from mask raster layer
• Metadata Guide
  • Introduction to GDAL Data Model
  • Introduction to QGIS Data Model
  • EnMAP-Box Metadata Handling