User ManualΒΆ
- The GUI
- 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
- Virtual Raster Builder
- Applications
- Agricultural Applications
- Classification Dataset Manager
- Classification workflow
- Classification Workflow (advanced)
- Classification Workflow (deprecated)
- EO Time Series Viewer
- EnPT (EnMAP Processing Tool)
- GFZ EnGeoMAP
- Image Math (deprecated)
- Raster math
- Regression Dataset Manager
- Regression Workflow (deprecated)
- Spectral Index Creator
- Example Data
- Earth Observation for QGIS (EO4Q)
- Processing Algorithms
- Auxilliary
- 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
- 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
- Feature selection
- 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
- Raster analysis
- Raster conversion
- Raster miscellaneous
- Raster projections
- 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
- Unmixing
- Vector conversion
- Vector creation
- Metadata Guide