CNR, Institute of Atmospheric Pollution Research, Italy
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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.
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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.
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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.
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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.
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Output file from the "2nd stage Image Stacking" service (step 5) and the input file to the "Extractor Resampler and Masking" service (step 8) 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. File format: raster geotiff.
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Input file to the "2nd stage Splitter" service (step 7) 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 validation of the land cover map obtained by the supervised data-driven classifier. File format: shapefile.
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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.
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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.
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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.
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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.