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  • Output file from the "Extractor Resampler and Masking" service (step 8) and input file to the "2nd stage Data-driven Classifier" service (step 9) of the Ailanthus Workflow within the Internal Joint Initiative. It is a multi-layer file containing the two multi-season images each one with its 8 bands in which those pixels not classified as deciduous vegetation from first stage land cover mapping are masked. File format: raster geotiff.

  • Input file to the "2nd stage Data-driven Classifier" service (step 9) for the 2-classes classification of the Ailanthus Workflow within the Internal Joint Initiative. Parameters to be setted for the training of the SVM classifier: Kernel function; Regularization parameter; penalty parameter. File format: text file.

  • Output file from the "2nd stage Data-driven Classifier" service (step 9) of the Ailanthus Workflow within the Internal Joint Initiative. It represents the final output map from the whole workflow: binary mapping Ailanthus/other deciduous vegetation. File format: raster geotiff.

  • Output file from the "1st stage Splitter" service (step 1) and input file to the "1st stage Data-driven Classifier" service (step 4) of the Ailanthus Workflow within the Internal Joint Initiative. It represents the reference data for the training of the supervised multi-class data-driven classifier. There is a file for each class in the scene labelled according to FAO-LCCS taxonomy. A numeric code is associated to each FAO_LCCS label. File format: shapefile.

  • Output file from the "1st stage Splitter" service (step 2) and input file to the "1st stage Data-driven Classifier" service (step 4) of the Ailanthus Workflow within the Internal Joint Initiative. It represents the reference data for the validation of the output map obtained from the supervised multi-class data-driven classifier. There is a file for each class in the scene labelled according to FAO-LCCS taxonomy. A numeric code is associated to each FAO_LCCS label. File format: shapefile.

  • Input file to the "1st stage Image Stacking" service (step 3) of the Ailanthus Workflow within the Internal Joint Initiative. It represents the winter multi-spectral (6 bands except thermal) image (vegetation at the pre-peak of biomass) acquired from Landsat 5 satellite at 30 meters spatial resolution. The data needs to be georeferenced and a surface reflectance product. These data will be stacked with coregistered images from the other seasons to be used as input to the supervised data-driven classifier. File format: raster geotiff.

  • Input file to the "1st stage Image Stacking" service (step 3) of the Ailanthus Workflow within the Internal Joint Initiative. It represents the summer multi-spectral (6 bands except thermal) image (vegetation at the dry season) acquired from Landsat 5 satellite at 30 meters spatial resolution. The data needs to be georeferenced and a surface reflectance product. These data will be stacked with coregistered images from the other seasons to be used as input to the supervised data-driven classifier. File format: raster geotiff.

  • Input file to the "1st stage Data-driven Classifier" service (step 4) of the Ailanthus Workflow within the Internal Joint Initiative. Parameters to be setted for the training of the SVM classifier: Kernel function; Regularization parameter; penalty parameter. File format: text file.

  • Output file from the "1st stage Data-driven Classifier" service (step 4) and input file to the "Extractor Resampler and Masking" service (step 8) of the Ailanthus Workflow within the Internal Joint Initiative. It represents the output multi-class land cover map obtained from the SVM classifier at 30 meters spatial resolution. It is a multi-class map with a numeric code associated to each different class. File format: raster geotiff.

  • Output file from the "1st stage Data-driven Classifier" service (step 4) of the Ailanthus Workflow within the Internal Joint Initiative: confusion matrix related to the validation dataset. File format: text file.