Output file from the "2nd stage Data-driven Classifier" service (step 9) of the Ailanthus Workflow within the Internal Joint Initiative: accuracy measures as Overall Accuracy; User's Accuracy; Producer's Accuracy; F1-score. File format: text file.

Input file to the "1st stage Splitter" service of the Ailanthus Workflow within the Internal Joint Initiative. It contains the reference data for all the classes in the scene, as collected in-field, labelled according to FAO-LCCS taxonomy. These data will be splitted into multiple files (each one for each land cover class) to be used for the training of the supervised data-driven classifier. File format: shapefile.

Input file to the "1st stage Splitter" service (step 2) of the Ailanthus Workflow within the Internal Joint Initiative. It contains the reference data for all the classes in the scene, as collected in-field, labelled according to FAO-LCCS taxonomy. These data will be splitted into multiple files (each one for each land cover class) to be used for the validation of the output map obtained from the supervised data-driven classifier. File format: shapefile.

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 spring multi-spectral (6 bands except thermal) image (vegetation at the 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.

Output file from the "1st stage Data-driven Classifier" service (step 4) of the Ailanthus Workflow within the Internal Joint Initiative: accuracy measures as Overall Accuracy; User's Accuracy; Producer's Accuracy; F1-score. File format: text file.

Input file to the "2nd stage Image Stacking" service (step 5) of the Ailanthus Workflow within the Internal Joint Initiative. It represents the summer multi-spectral (8 bands) image (vegetation at the dry season) acquired from Worldview-2 satellite at 2 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 season to be used as input to the supervised data-driven classifier. File format: raster geotiff.

Input file to the "2nd stage Splitter" service (step 6) of the Ailanthus Workflow within the Internal Joint Initiative. It contains the reference data for two classes: Ailanthus and other deciduous vegetation in the scene, as collected in-field. These data will be splitted into two different files (each one for each land cover class) to be used for the training of the supervised data-driven classifier. File format: shapefile.